{"auto_groups":["default"],"data":[{"model_name":"vidu-video-q3-turbo","description":"Vidu Q3 Turbo — the fast, cost-efficient Q3 tier for text, image, start/end-frame, and reference video generation with synchronized audio/video output. Generates 1–16 seconds for normal modes or 3–16 seconds for reference mode at 540P–1080P.","specs":"{\"type\": \"video\", \"min_duration_seconds\": 1, \"max_duration_seconds\": 16, \"resolutions\": [\"540P\", \"720P\", \"1080P\"], \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"video\", \"audio\"]}","login_required":0,"tags":"Video,Text-to-Video,Image-to-Video,First-Last-Frame,Reference-to-Video,Audio,Fast","vendor_id":26,"quota_type":1,"model_ratio":0,"model_price":0.055,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video","image-to-video","first-last-frame","reference-to-video","video-with-audio"],"billing_rate":1,"billing_rate_source":"default","pricing_version":"5a90f2b86c08bd983a9a2e6d66c255f4eaef9c4bc934386d2b6ae84ef0ff1f1f","billing_unit":"per_second","book_faces":{"standard":{"video_second":55000},"paid":null,"route_count":1}},{"model_name":"agnes-2.5-pro-beta","description":"Agnes AI Agnes 2.5 Pro Beta — the low-priced tier of the Pro family, billed at its own Beta price well below 2.5 Pro's, a paid reasoning model with the same request format, text protocols and context limits, for advanced coding, scientific reasoning, long-context analysis, agent workflows and image understanding.","specs":"{\"type\": \"llm\", \"context_window\": 1048576, \"max_output_tokens\": 65536, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"]}","login_required":0,"icon":"https://dash.chinaapi.ai/providers/agnes.png","tags":"Reasoning,Tools,Vision,Multimodal,1M","vendor_id":25,"quota_type":0,"model_ratio":0.05,"model_price":0,"owner_by":"","completion_ratio":3,"cache_ratio":0.1,"create_cache_ratio":0,"enable_groups":["default"],"supported_endpoint_types":["openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.1,"list_input_usd":0.1,"selling_usd":0.1,"unit":"text","list_source":"https://www.agnes-ai.com/zh-Hans/docs/agnes-25-pro-beta","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.1,"selling_usd":0.1,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":0.3,"selling_usd":0.30000000000000004,"discount_pct":-0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.01,"selling_usd":0.010000000000000002,"discount_pct":-0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":10000,"cache_write":0,"input":100000,"output":300000},"paid":null,"route_count":1}},{"model_name":"agnes-video-2.5","description":"Agnes AI Video 2.5 — a paid asynchronous video model generating 4-12 second clips at 720P, 960P or 2K from text, first/last keyframes, or image, audio and video references.","specs":"{\"type\":\"video\",\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"video\"]}","login_required":0,"icon":"https://dash.chinaapi.ai/providers/agnes.png","tags":"Video,Text-to-Video,Image-to-Video","vendor_id":25,"quota_type":1,"model_ratio":0,"model_price":0.025,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video","image-to-video"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_second","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.025,"list_input_usd":0.025,"selling_usd":0.025,"unit":"per_second","list_source":"https://www.agnes-ai.com/zh-Hans/docs/agnes-video-25","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.025,"selling_usd":0.025,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"video_second":25000},"paid":null,"route_count":1}},{"model_name":"gpt-5.6-sol","description":"OpenAI GPT-5.6 Sol — the flagship GPT-5.6 model for frontier reasoning, complex professional work, coding, science, cybersecurity, and long-horizon agentic workflows. It supports text and image input, built-in tools, a 1,050,000-token context window, up to 128,000 output tokens, and the family’s deepest reasoning settings.","specs":"{\"type\":\"llm\",\"context_window\":1050000,\"max_output_tokens\":128000,\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"text\"],\"reasoning_efforts\":[\"none\",\"low\",\"medium\",\"high\",\"xhigh\",\"max\"],\"pricing_notes\":[\"Standard: $5 input, $0.50 cached input, and $30 output per 1M tokens.\",\"Above 272K input tokens, the full request uses 2x input and 1.5x output pricing.\"]}","login_required":0,"icon":"OpenAI","tags":"Reasoning,Tools,Vision,Multimodal,1M,Files","vendor_id":19,"quota_type":0,"model_ratio":2.5,"model_price":0,"owner_by":"","completion_ratio":6,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai","openai-response"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":500000,"cache_write":6250000,"cache_write_1h":5000000,"input":5000000,"output":30000000},"paid":{"cache_read":325000,"cache_write":4062500,"cache_write_1h":5000000,"input":3250000,"output":19500000},"route_count":5,"tier_count":2,"tiers":[{"tier":"long_context","standard":{"cache_read":1000000,"cache_write":12500000,"cache_write_1h":10000000,"input":10000000,"output":45000000},"paid":{"cache_read":650000,"cache_write":8125000,"cache_write_1h":10000000,"input":6500000,"output":29250000},"when":[{"dim":"context_len","context_len_gt":272000}]},{"tier":"standard","standard":{"cache_read":500000,"cache_write":6250000,"cache_write_1h":5000000,"input":5000000,"output":30000000},"paid":{"cache_read":325000,"cache_write":4062500,"cache_write_1h":5000000,"input":3250000,"output":19500000}}]}},{"model_name":"qwen-image-3.0-pro","description":"Alibaba Qwen-Image-3.0-Pro — the professional tier of the Qwen image line, built for dense, information-heavy layouts (newspapers, storyboards, menus, exam papers) in a single generation. Accepts prompts up to 4,500 tokens, renders 10px type, 12 languages, and 20+ typefaces, returns up to 6 images per request, and generates up to 2048x2048. Text-to-image and image editing.","login_required":0,"tags":"Image,Editing,High-definition","vendor_id":4,"quota_type":1,"model_ratio":0,"model_price":0.04,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image","image-editing"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.04,"list_input_usd":0.04,"selling_usd":0.04,"unit":"per_call","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.04,"selling_usd":0.04,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"per_call":40000},"paid":null,"route_count":1}},{"model_name":"gemini-3.6-flash","description":"Google Gemini 3.6 Flash — a stable multimodal reasoning model that balances speed and intelligence for agentic and real-world tasks, with a 1,048,576-token input context and 65,536-token output limit. It accepts text, images, video, audio, and PDFs, and supports thinking, function calling, code execution, search grounding, structured output, and Computer Use (preview).\n\nPricing note: Google's list price for this model is promotional through December 31, 2026 — $0.75 input / $3.75 output / $0.075 cached input per 1M tokens. From January 1, 2027 the vendor's list price returns to $1.50 / $7.50 / $0.15, and our price follows it at the same parity.","specs":"{\"type\":\"llm\",\"context_window\":1048576,\"max_output_tokens\":65536,\"input_modalities\":[\"text\",\"image\",\"video\",\"audio\",\"pdf\"],\"output_modalities\":[\"text\"],\"reasoning_efforts\":[\"medium\",\"high\"]}","login_required":0,"icon":"Gemini.Color","tags":"Reasoning,Tools,Vision,Multimodal,1M,Fast,Files","vendor_id":21,"quota_type":0,"model_ratio":0.375,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"audio_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai","gemini","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.75,"list_input_usd":0.75,"selling_usd":0.75,"unit":"text","list_source":"https://ai.google.dev/gemini-api/docs/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.75,"selling_usd":0.75,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":3.75,"selling_usd":3.75,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.075,"selling_usd":0.07500000000000001,"discount_pct":-0,"verdict":"at_list"}],"unverified_faces":["audio_input"]},"book_faces":{"standard":{"audio_input":750000,"cache_read":75000,"input":750000,"output":3750000},"paid":{"audio_input":750000,"cache_read":52500,"input":525000,"output":2625000},"route_count":2}},{"model_name":"claude-fable-5-1","description":"Anthropic Claude Fable 5.1 — Anthropic’s latest generally available flagship for ambitious, long-running knowledge work and coding. It is built for multi-day agentic tasks, complex software engineering, deep research, document and vision reasoning, and proactive self-verification. Cache reads are priced at 2.5% of input — the lowest of its generation.","specs":"{\"type\": \"llm\", \"context_window\": 1000000, \"max_output_tokens\": 128000, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"], \"reasoning_efforts\": [\"low\", \"medium\", \"high\", \"max\"], \"pricing_notes\": [\"Standard: $10 input, $50 output, $0.25 cache read, $12.50 5-minute cache write, and $20 1-hour cache write per 1M tokens.\", \"Cache reads are 0.025x the input price on this model, not the usual 0.1x.\", \"Adaptive thinking is always enabled.\"]}","login_required":0,"icon":"Claude.Color","tags":"Reasoning,Tools,Vision,Multimodal,1M,Files","vendor_id":20,"quota_type":0,"model_ratio":5,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.025,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":10,"list_input_usd":10,"selling_usd":10,"unit":"text","list_source":"https://platform.claude.com/docs/en/about-claude/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":10,"selling_usd":10,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":50,"selling_usd":50,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.25,"selling_usd":0.25,"discount_pct":0,"verdict":"at_list"},{"face":"cache_write","list_usd":12.5,"selling_usd":12.5,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_write_1h"]},"book_faces":{"standard":{"cache_read":250000,"cache_write":12500000,"cache_write_1h":20000000,"input":10000000,"output":50000000},"paid":{"cache_read":137500,"cache_write":6875000,"cache_write_1h":11000000,"input":5500000,"output":27500000},"route_count":4}},{"model_name":"claude-opus-5","description":"Anthropic Claude Opus 5 — a deep-reasoning model for complex agentic coding and enterprise work, with major gains on long-horizon tasks, code review, document workflows, vision, and multi-agent coordination. It has a 1,000,000-token context window, supports up to 128,000 output tokens, and enables adaptive thinking by default.","specs":"{\"type\":\"llm\",\"context_window\":1000000,\"max_output_tokens\":128000,\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"text\"],\"reasoning_efforts\":[\"low\",\"medium\",\"high\",\"xhigh\",\"max\"],\"pricing_notes\":[\"Standard: $5 input, $25 output, $0.50 cache read, $6.25 5-minute cache write, and $10 1-hour cache write per 1M tokens.\",\"Adaptive thinking is on by default; high is the default effort and the full low-to-max effort ladder is supported.\"]}","login_required":0,"icon":"Claude.Color","tags":"Reasoning,Tools,Vision,Multimodal,1M,Files","vendor_id":20,"quota_type":0,"model_ratio":2.5,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":5,"list_input_usd":5,"selling_usd":5,"unit":"text","list_source":"https://platform.claude.com/docs/en/about-claude/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":5,"selling_usd":5,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":25,"selling_usd":25,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.5,"selling_usd":0.5,"discount_pct":0,"verdict":"at_list"},{"face":"cache_write","list_usd":6.25,"selling_usd":6.25,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_write_1h"]},"book_faces":{"standard":{"cache_read":500000,"cache_write":6250000,"cache_write_1h":10000000,"input":5000000,"output":25000000},"paid":{"cache_read":275000,"cache_write":3437500,"cache_write_1h":5500000,"input":2750000,"output":13750000},"route_count":2}},{"model_name":"fun-asr-flash-2026-06-15","description":"Alibaba Fun-ASR Flash (2026-06-15) — low-latency recorded-speech recognition with prompt context and automatic language detection across Chinese dialects and more than 30 languages. Accepts URL, Base64, or uploaded AAC/AMR/AVI/FLAC/FLV/M4A/MKV/MOV/MP3/MP4/MPEG/OGG/OPUS/WAV/WEBM/WMA/WMV audio, up to 5 minutes and 2 GB.","specs":"{\"type\": \"asr\", \"input_modalities\": [\"audio\"], \"output_modalities\": [\"text\"], \"max_duration_seconds\": 300, \"pricing_notes\": [\"Standard: $0.126 per audio hour; 1000 equivalent tokens = one audio minute.\"]}","login_required":0,"tags":"Audio,ASR,Multilingual,Low-latency","vendor_id":4,"quota_type":0,"model_ratio":1.05,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-transcription"],"capabilities":["audio-speech"],"tasks":["transcription"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"audio_duration","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.126,"list_input_usd":0.126,"selling_usd":0.126,"unit":"asr","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.126,"selling_usd":0.126,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"input":2100000,"output":0},"paid":null,"route_count":1}},{"model_name":"qwen-image-2.1-turbo","description":"Alibaba Qwen-Image-2.1-Turbo is the economical image generation and editing tier. It supports transparent images, subject extraction and multiple image references for everyday visual content, with text and image input and image output.","specs":"{\"type\": \"image\", \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"image\"]}","login_required":0,"tags":"Image,Editing,Fast","vendor_id":4,"quota_type":1,"model_ratio":0,"model_price":0.016,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image","image-editing"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.016,"list_input_usd":0.016,"selling_usd":0.016,"unit":"per_call","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-11-10","faces":[{"face":"input","list_usd":0.016,"selling_usd":0.016,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"per_call":16000},"paid":null,"route_count":1}},{"model_name":"qwen3-asr-flash","description":"Alibaba Qwen3-ASR-Flash — speech recognition built on the Qwen3 foundation model, which automatically determines the spoken language and transcribes 11 languages; the Qwen3-ASR line documents Mandarin alongside Sichuanese, Min Nan, Wu, and Cantonese, and multiple English accents. Accepts aac, amr, avi, aiff, flac, flv, mkv, mp3, mpeg, ogg, opus, wav, webm, wma, and wmv up to 5 minutes and 10 MB per request; pcm input must be 16 kHz and other formats are resampled to 16 kHz before recognition.","login_required":0,"tags":"Audio,ASR,Multilingual,Low-latency","vendor_id":4,"quota_type":0,"model_ratio":1.05,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-transcription"],"capabilities":["audio-speech"],"tasks":["transcription"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"audio_duration","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.126,"list_input_usd":0.126,"selling_usd":0.126,"unit":"asr","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.126,"selling_usd":0.126,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"input":2100000,"output":0},"paid":null,"route_count":2}},{"model_name":"qwen3.5-omni-flash","description":"Alibaba Qwen3.5-Omni-Flash — the fast tier of the Qwen3.5 omni-modal line, understanding and conversing across text, image, audio, and audio-video. Handles more than 10 hours of audio and more than 400 seconds of 720P (1 FPS) audio-video per conversation, with audio input in 60+ languages and speech output in 30+. Audio input and audio-bearing output are billed on their own faces, above the text rate.","specs":"{\"type\":\"llm\",\"input_modalities\":[\"text\",\"image\",\"audio\",\"video\"],\"output_modalities\":[\"text\",\"audio\"]}","login_required":0,"tags":"Multimodal,Audio,Vision,Multilingual,Fast","vendor_id":4,"quota_type":0,"model_ratio":0.2,"model_price":0,"owner_by":"","completion_ratio":5.5,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai"],"capabilities":["text-multimodal","audio-speech"],"tasks":["chat","vision","audio-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.4,"list_input_usd":0.4,"selling_usd":0.4,"unit":"text","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.4,"selling_usd":0.4,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":2.2,"selling_usd":2.2,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_read"]},"book_faces":{"standard":{"input":400000,"output":2200000},"paid":null,"route_count":1}},{"model_name":"stepaudio-2.5-tts","description":"StepFun StepAudio 2.5 TTS — contextual text-to-speech that carries understanding through the whole generation pipeline instead of treating delivery as post-processing. Voice, emotion, and pacing are directed in natural language at two levels: a global context for the request and inline context for individual passages. Zero-shot voice cloning needs about 3 seconds of reference audio and inherits the full contextual control set. Accepts up to 1000 characters per request; outputs wav, mp3, flac, or opus.","login_required":0,"tags":"Audio,TTS,Multilingual,Voice,VoiceClone","vendor_id":18,"quota_type":0,"model_ratio":42.5,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-speech"],"capabilities":["audio-speech"],"tasks":["text-to-speech","voice-cloning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"characters","default_voice":"cixingnansheng","default_response_format":"mp3","speech_input":"voice-name","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.85,"list_input_usd":0.85,"selling_usd":0.85,"unit":"tts","list_source":"https://platform.stepfun.ai/docs/en/guides/pricing/details","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.85,"selling_usd":0.85,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"input":85000000,"output":0},"paid":null,"route_count":1}},{"model_name":"doubao-seedance-2-0-mini-260615","description":"ByteDance Seedance 2.0 Mini — the lightweight, budget-friendly tier of the Seedance 2.0 line, capped at 480p and 720p, 24 fps, 4-15 seconds. It carries the same documented feature set as the rest of the line: text-to-video, first-frame and first-and-last-frame image-to-video, multimodal reference generation from 1-9 images and up to 3 reference videos totalling 15 seconds, video editing, video extension, sound-on generation, and a web-search tool; an audio reference has to accompany an image or video. Returns MP4 in 21:9, 16:9, 4:3, 1:1, 3:4, or 9:16.","login_required":0,"tags":"Video,Text-to-Video,Image-to-Video,Reference-to-Video,Audio,Fast,First-Last-Frame","vendor_id":5,"quota_type":0,"model_ratio":1.75,"model_price":0,"owner_by":"","completion_ratio":0,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video","image-to-video","first-last-frame","reference-to-video","video-with-audio"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"input":3500000,"output":0},"paid":null,"route_count":1}},{"model_name":"gemini-3.8-flash","description":"Google Gemini 3.8 Flash — Google's fast multimodal Gemini model, callable here through both the OpenAI-compatible and the native Gemini endpoints. Standard token pricing is $0.75 input, $0.075 cached input, and $3.75 output per 1M tokens.","specs":"{\"type\": \"llm\", \"context_window\": 1048576, \"max_output_tokens\": 65536, \"input_modalities\": [\"text\", \"image\", \"video\", \"audio\", \"pdf\"], \"output_modalities\": [\"text\"], \"reasoning_efforts\": [\"minimal\", \"low\", \"medium\", \"high\"], \"pricing_notes\": [\"Standard: $0.75 input, $0.075 cached input, and $3.75 output per 1M tokens.\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,Multimodal,1M,Fast,Files","vendor_id":21,"quota_type":0,"model_ratio":0.375,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"enable_groups":["default"],"supported_endpoint_types":["openai","gemini"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":75000,"input":750000,"output":3750000},"paid":{"cache_read":48750,"input":487500,"output":2437500},"route_count":3},"route_health":{"window_hours":24,"sample_size":27,"success_ratio":0.2222222222222222,"last_checked_at":1794489036}},{"model_name":"glm-5.3","description":"Zhipu GLM-5.3 — flagship coding-and-agent model post-trained on the same base as GLM-5.2: a 50% gain on Zhipu's internal coding bench, open-source SOTA on Terminal-Bench 3.0 and Agents' Last Exam, and state-of-the-art CyberGym vulnerability-discovery results, with a 1M-token context window and up to 128K output tokens. Text in, text out. Supports multiple thinking modes, function calling, structured JSON output, streaming, context caching, and MCP tool integration.","specs":"{\"type\":\"llm\",\"context_window\":1000000,\"max_output_tokens\":128000,\"input_modalities\":[\"text\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,1M","vendor_id":2,"quota_type":0,"model_ratio":0.7,"model_price":0,"owner_by":"","completion_ratio":3.142857142857143,"cache_ratio":0.18571428571428572,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":1.4,"list_input_usd":1.4,"selling_usd":1.4,"unit":"text","list_source":"https://docs.z.ai/guides/overview/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":1.4,"selling_usd":1.4,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":4.4,"selling_usd":4.3999999999999995,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.26,"selling_usd":0.26,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":260000,"input":1400000,"output":4400000},"paid":{"cache_read":169000,"input":910000,"output":2860000},"route_count":2}},{"model_name":"gpt-image-2","description":"OpenAI GPT Image 2 — a state-of-the-art image generation and editing model for fast, high-quality output. It takes text and image input, supports flexible image sizes and high-fidelity image inputs, and bills per token rather than per call: $5 text input, $1.25 cached text input, $8 image input, and $30 image output per 1M tokens.","specs":"{\"type\":\"image\",\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"image\"],\"resolutions\":[\"1024x1024\",\"1536x1024\",\"1024x1536\",\"auto\"],\"health_probe\":{\"endpoint_type\":\"image-generation\",\"prompt\":\"A simple blue circle on a white background.\",\"size\":\"1024x1024\"},\"pricing_notes\":[\"Standard token rates: $5 text input, $1.25 cached text input, $8 image input, $2 cached image input, and $30 image output per 1M tokens.\",\"Generation can run past 130s. api.chinaapi.ai reaches the origin directly with no edge timeout, so the customer path is unaffected by the Cloudflare cutoff seen on the dash host.\"]}","login_required":0,"icon":"OpenAI","tags":"OpenAI,image","vendor_id":19,"quota_type":0,"model_ratio":2.5,"model_price":0,"owner_by":"","completion_ratio":6,"cache_ratio":0.25,"image_ratio":1.6,"enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":1250000,"image_input":8000000,"image_output":30000000,"input":5000000,"output":30000000},"paid":{"cache_read":1000000,"image_input":6400000,"image_output":24000000,"input":4000000,"output":24000000},"route_count":2}},{"model_name":"MiniMax-M2.1","description":"MiniMax M2.1 — text model built for multilingual programming, with a 204,800-token context window and output at roughly 60 tokens per second. Text only: the API accepts text and tool-call content blocks, not images or video. Vendor-designated legacy model that MiniMax states it still serves normally; carried for version compatibility, since customers pin a model name to a generation. Open weights are published on Hugging Face.","specs":"{\"type\": \"llm\", \"context_window\": 204800, \"input_modalities\": [\"text\"], \"output_modalities\": [\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Open Weights,200K","vendor_id":13,"quota_type":0,"model_ratio":0.15,"model_price":0,"owner_by":"","completion_ratio":4,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":30000,"cache_write":375000,"input":300000,"output":1200000},"paid":null,"route_count":1}},{"model_name":"minimax-music-v3.0","description":"MiniMax Music 3.0 — synchronous full-song generation from a musical prompt and optional lyrics, with instrumental mode, lyric optimization, and URL or hex audio output. Prompts support up to 2,000 characters and lyrics up to 3,500 characters.","specs":"{\"type\": \"music\", \"input_modalities\": [\"text\"], \"output_modalities\": [\"audio\"], \"pricing_notes\": [\"Standard: CNY 1 per generated song converted at FX 6.75.\"]}","login_required":0,"tags":"Audio,Music,Text-to-Music","vendor_id":13,"quota_type":1,"model_ratio":0,"model_price":0.148148,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["music-generation"],"capabilities":["audio-speech"],"tasks":["music-generation"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","book_faces":{"standard":{"per_call":148148},"paid":null,"route_count":1}},{"model_name":"qwen3.8-27b","description":"Alibaba Qwen3.8-27B — the 27-billion-parameter native vision-language dense model of the Qwen3.8 line, open-weight, which the vendor positions above 3.6-27B on coding and office tasks in both the text and the visual modality. 1,000,000-token context window. Accepts text and image input and returns text; thinking and non-thinking modes are billed at the same rate and the output price includes the chain of thought.","specs":"{\"type\":\"llm\",\"context_window\":1000000,\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,Open Weights,1M","vendor_id":4,"quota_type":0,"model_ratio":0.25,"model_price":0,"owner_by":"","completion_ratio":6,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"input":500000,"output":3000000},"paid":null,"route_count":1}},{"model_name":"stepaudio-3-asr-max","description":"StepFun StepAudio 3 ASR Max — StepFun's largest speech-recognition model, built on a large language model so recognition draws on context and domain knowledge: stronger on names, drug names, technical terms and homophones, on mixed Chinese-English, dialects and long audio, and on whispered, very fast or music-backed speech, including sung lyrics. Send an audio file to POST /v1/audio/transcriptions (WAV, MP3 or OGG); billed by audio duration.","login_required":0,"tags":"Audio,ASR,Transcription","vendor_id":18,"quota_type":0,"model_ratio":3.3333335,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-transcription"],"capabilities":["audio-speech"],"tasks":["transcription"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"audio_duration","vendor_list":{"verdict":"at_list","discount_pct":-0,"list_currency":"USD","list_input":0.4,"list_input_usd":0.4,"selling_usd":0.40000002,"unit":"asr","list_source":"https://platform.stepfun.ai/docs/en/guides/pricing/details","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.4,"selling_usd":0.40000002,"discount_pct":-0,"verdict":"at_list"}]},"book_faces":{"standard":{"input":6666667,"output":0},"paid":null,"route_count":1}},{"model_name":"claude-fable-5","description":"Anthropic Claude Fable 5 — Anthropic’s most capable generally available model for ambitious, long-running knowledge work and coding. It is built for multi-day agentic tasks, complex software engineering, deep research, document and vision reasoning, and proactive self-verification.","specs":"{\"type\":\"llm\",\"context_window\":1000000,\"max_output_tokens\":128000,\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"text\"],\"reasoning_efforts\":[\"low\",\"medium\",\"high\",\"max\"],\"pricing_notes\":[\"Standard: $10 input, $50 output, $1 cache read, $12.50 5-minute cache write, and $20 1-hour cache write per 1M tokens.\",\"Adaptive thinking is always enabled.\"]}","login_required":0,"icon":"Claude.Color","tags":"Reasoning,Tools,Vision,Multimodal,1M,Files","vendor_id":20,"quota_type":0,"model_ratio":5,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":10,"list_input_usd":10,"selling_usd":10,"unit":"text","list_source":"https://platform.claude.com/docs/en/about-claude/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":10,"selling_usd":10,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":50,"selling_usd":50,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":1,"selling_usd":1,"discount_pct":0,"verdict":"at_list"},{"face":"cache_write","list_usd":12.5,"selling_usd":12.5,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_write_1h"]},"book_faces":{"standard":{"cache_read":1000000,"cache_write":12500000,"cache_write_1h":20000000,"input":10000000,"output":50000000},"paid":{"cache_read":550000,"cache_write":6875000,"cache_write_1h":11000000,"input":5500000,"output":27500000},"route_count":3}},{"model_name":"gemini-3.7-flash","description":"Google Gemini 3.7 Flash — the newest Flash-tier multimodal reasoning model, priced identically to 3.6 Flash while the vendor promotion runs. Accepts text, images, video, audio and PDFs; supports thinking, function calling, code execution, search grounding and structured output.\n\nPricing note: Google's list price for this model is promotional through December 31, 2026 — $0.75 input / $3.75 output / $0.075 cached input per 1M tokens. From January 1, 2027 the vendor's list price returns to $1.50 / $7.50 / $0.15, and our price follows it at the same parity.","specs":"{\"type\": \"llm\", \"context_window\": 1048576, \"max_output_tokens\": 65536, \"input_modalities\": [\"text\", \"image\", \"video\", \"audio\", \"pdf\"], \"output_modalities\": [\"text\"], \"reasoning_efforts\": [\"medium\", \"high\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,Multimodal,1M,Fast,Files","vendor_id":21,"quota_type":0,"model_ratio":0.375,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"audio_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"audio_input":750000,"cache_read":75000,"input":750000,"output":3750000},"paid":{"audio_input":750000,"cache_read":52500,"input":525000,"output":2625000},"route_count":4},"route_health":{"window_hours":24,"sample_size":20,"success_ratio":0.2,"last_checked_at":1794487011}},{"model_name":"gpt-image-2.6-sunburst","description":"GPT Image 2.6 Sunburst provides direct Images generation and editing with separately metered text and image input. This route qualifies non-streaming PNG output; SVG, GIF, markup/complexity extensions, Responses image tools and cached-input billing are not qualified.","specs":"{\"supported_features\": [\"image-generation\", \"image-editing\"], \"known_limits\": [\"Qualified output: non-streaming 1024x1024 PNG, quality=low. Other sizes/qualities are not separately certified.\", \"stream=true is rejected before dispatch; an unexpected upstream stream is not delivered.\", \"Reported cached input without qualified modality billing is rejected before delivery, without customer settlement.\", \"SVG, animated GIF, markup/complexity controls and Responses image tools are not qualified.\"], \"qualified_endpoints\": [\"/v1/images/generations\", \"/v1/images/edits\"]}","login_required":0,"tags":"Image,image-generation,image-editing","vendor_id":19,"quota_type":0,"model_ratio":2.5,"model_price":0,"owner_by":"","completion_ratio":6,"image_ratio":1.6,"enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image","image-editing"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"image_input":8000000,"input":5000000,"output":30000000},"paid":{"image_input":6800000,"input":4250000,"output":25500000},"route_count":1}},{"model_name":"grok-4.7","description":"xAI Grok 4.7 — a frontier model built for coding, agentic tasks, and knowledge work. It accepts text and image input and has a 500,000-token context window. Reasoning cannot be turned off: reasoning_effort selects low, medium, high, or xhigh, with high as the default, and reasoning tokens are billed as output. When a prompt reaches 200,000 tokens, every token in that request is billed at the long-context rate. Only function tools are accepted; xAI's server-side tools, such as web search, X search, and code execution, are not available, and requests that include them are refused. On /v1/responses, send the whole conversation in the input array on every turn and pass back the encrypted reasoning items from earlier responses unchanged; requests that carry previous_response_id or conversation are refused.","specs":"{\"type\": \"llm\", \"context_window\": 500000, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"], \"reasoning_efforts\": [\"low\", \"medium\", \"high\", \"xhigh\"], \"pricing_notes\": [\"Standard: $2 input, $0.50 cached input, and $6 output per 1M tokens.\", \"At 200K input tokens and above, the full request is billed at 2x: $4 input, $1 cached input, and $12 output per 1M tokens.\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,Multimodal,500K","vendor_id":28,"quota_type":0,"model_ratio":1,"model_price":0,"owner_by":"","completion_ratio":3,"cache_ratio":0.25,"enable_groups":["default"],"supported_endpoint_types":["openai","openai-response"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":500000,"input":2000000,"output":6000000},"paid":{"cache_read":200000,"input":800000,"output":2400000},"route_count":1,"tier_count":2,"tiers":[{"tier":"long_context","standard":{"cache_read":1000000,"input":4000000,"output":12000000},"paid":{"cache_read":400000,"input":1600000,"output":4800000},"when":[{"dim":"context_len","context_len_gt":199999}]},{"tier":"standard","standard":{"cache_read":500000,"input":2000000,"output":6000000},"paid":{"cache_read":200000,"input":800000,"output":2400000}}]}},{"model_name":"happyhorse-1.1-i2v","description":"Alibaba HappyHorse 1.1 (I2V) — image-to-video with better texture, ID consistency across clips, motion fluidity, and audio-visual sync. 720P/1080P.","login_required":0,"tags":"Video,Image-to-Video","vendor_id":4,"quota_type":1,"model_ratio":0,"model_price":0.14,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["image-to-video"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_second","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.14,"list_input_usd":0.14,"selling_usd":0.14,"unit":"per_second","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.14,"selling_usd":0.14,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"video_second":140000},"paid":null,"route_count":1}},{"model_name":"mimo-v2.6-pro","description":"Xiaomi MiMo-V2.6-Pro — Xiaomi's trillion-parameter flagship reasoning model with open weights, natively full-modality: one model understands images, video, audio and text. 1M context and 128K max output, with deep thinking, function calling and structured output. Built for complex projects, long-horizon agent tasks, cybersecurity and research work.","login_required":0,"tags":"Reasoning,Tools,Files,Vision,Video,Audio,Multimodal,Open Weights,1M","vendor_id":16,"quota_type":0,"model_ratio":0.2175,"model_price":0,"owner_by":"","completion_ratio":2,"cache_ratio":0.008275862068965517,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic","openai-response"],"capabilities":["text-multimodal","audio-speech"],"tasks":["chat","reasoning","vision","file-video-understanding","audio-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.435,"list_input_usd":0.435,"selling_usd":0.435,"unit":"text","list_source":"https://mimo.mi.com/docs/zh-CN/price/pay-as-you-go","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.435,"selling_usd":0.435,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":0.87,"selling_usd":0.87,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.0036,"selling_usd":0.0036,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":3600,"input":435000,"output":870000},"paid":{"cache_read":3240,"input":391500,"output":783000},"route_count":2}},{"model_name":"qwen3.5-omni-flash-realtime","description":"Alibaba Qwen3.5-Omni-Flash-Realtime — the fast realtime tier of the Qwen3.5 omni-modal line, held open as a WebSocket session for full-duplex speech conversation. Understands text, image, audio, and audio-video; audio input in 60+ languages and speech output in 30+, with steerable voice, web search, complex function calling, and semantic barge-in. Reached over GET /v1/realtime. Audio input and audio-bearing output are billed on their own faces, well above the text rate.","specs":"{\"type\":\"llm\",\"input_modalities\":[\"text\",\"image\",\"audio\",\"video\"],\"output_modalities\":[\"text\",\"audio\"]}","login_required":0,"tags":"Realtime,Multimodal,Audio,Voice,Multilingual,Fast","vendor_id":4,"quota_type":0,"model_ratio":0.275,"model_price":0,"owner_by":"","completion_ratio":6,"cache_ratio":1,"audio_ratio":8.181818181818182,"audio_completion_ratio":32.18181818181818,"enable_groups":["default"],"supported_endpoint_types":["realtime"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.55,"list_input_usd":0.55,"selling_usd":0.55,"unit":"text","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.55,"selling_usd":0.55,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":3.3,"selling_usd":3.3000000000000003,"discount_pct":-0,"verdict":"at_list"}],"unverified_faces":["cache_read","audio_input","audio_output"]},"book_faces":{"standard":{"audio_input":4500000,"audio_output":17700000,"input":550000,"output":3300000},"paid":null,"route_count":1}},{"model_name":"qwen3.7-plus","description":"Alibaba Qwen3.7-Plus — multimodal hybrid agent model that perceives real-world scenes, reads screens and drives GUIs, generates code from visual references, and performs end-to-end navigation inside mobile apps. 1,000,000-token context window (991,808 max input, 983,616 in thinking mode), up to 131,072 output tokens, and a 262,144-token chain-of-thought budget. Accepts text, image, and video input and returns text; supports function calling, structured outputs, and context caching.","specs":"{\"type\":\"llm\",\"context_window\":1000000,\"max_output_tokens\":131072,\"input_modalities\":[\"text\",\"image\",\"video\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Files,Vision,1M","vendor_id":4,"quota_type":0,"model_ratio":0.2,"model_price":0,"owner_by":"","completion_ratio":4,"cache_ratio":0.2,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":80000,"cache_write":500000,"input":400000,"output":1600000},"paid":{"cache_read":60000,"cache_write":375000,"input":300000,"output":1200000},"route_count":2,"tier_count":2,"tiers":[{"tier":"long_context","standard":{"cache_read":240000,"cache_write":1500000,"input":1200000,"output":4800000},"paid":{"cache_read":180000,"cache_write":1125000,"input":900000,"output":3600000},"when":[{"dim":"context_len","context_len_gt":256000}]},{"tier":"standard","standard":{"cache_read":80000,"cache_write":500000,"input":400000,"output":1600000},"paid":{"cache_read":60000,"cache_write":375000,"input":300000,"output":1200000}}]}},{"model_name":"doubao-seed-evolving","description":"ByteDance Doubao Seed Evolving — Doubao's current coding and agent flagship, published as a rolling release: the vendor updates the model weekly under this same ID with no dated snapshot, so behavior and capabilities can change without a version bump. Carries the vendor's deep thinking, text generation, multimodal understanding, GUI task handling, tool calling, and structured output (json_schema recommended) capability labels. 1,024K context window with 1,024K maximum input and up to 256K output tokens (4K by default).","specs":"{\"type\": \"llm\", \"context_window\": 1024000, \"max_input_tokens\": 1024000, \"max_output_tokens\": 256000, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"], \"release_notes\": [\"Rolling release: updated weekly by the vendor under the same model ID.\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,1M","vendor_id":5,"quota_type":0,"model_ratio":0.444444,"model_price":0,"owner_by":"","completion_ratio":5.0000045000045,"cache_ratio":0.199999324999325,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":177777,"input":888888,"output":4444444},"paid":null,"route_count":1}},{"model_name":"gpt-6.1-terra","description":"GPT-6.1 Terra via streamed native Responses. Text and function tools; send complete client history. Input above 272000 tokens uses the whole-request long-context tier. Supplier output caps may be exceeded; max_output_tokens is not a reliable spend limit. Cache discounts apply only to reported cache hits.","specs":"{\"context_window\": 1050000, \"max_input_tokens\": 922000, \"max_output_tokens\": 128000, \"route_output_limit\": \"best_effort\", \"supported_features\": [\"streaming\", \"function-calling\", \"full-client-history\"], \"known_limits\": [\"Supplier max_output_tokens is not a reliable spending limit; both legs exceeded a requested 16-token cap in acceptance.\", \"BIEZOU cache-read price is a quote; four identical short requests did not produce a cache hit. APIKEY cache hit and debit were verified.\", \"Only streamed native Responses, text and function tools with full client-supplied history are accepted. Stored previous_response_id continuation, built-in paid tools, extended cache retention, Fast/Priority tiers and other protocols are not offered by this listing.\"]}","login_required":0,"tags":"1.05M,Reasoning,Tools","vendor_id":19,"quota_type":0,"model_ratio":0.5,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.05,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["openai-response"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":50000,"cache_write":1250000,"input":1000000,"output":5000000},"paid":{"cache_read":27500,"cache_write":1250000,"input":550000,"output":2750000},"route_count":2,"tier_count":2,"tiers":[{"tier":"long_context","standard":{"cache_read":100000,"cache_write":2500000,"input":2000000,"output":7500000},"paid":{"cache_read":55000,"cache_write":2500000,"input":1100000,"output":4125000},"when":[{"dim":"context_len","context_len_gt":272000}]},{"tier":"standard","standard":{"cache_read":50000,"cache_write":1250000,"input":1000000,"output":5000000},"paid":{"cache_read":27500,"cache_write":1250000,"input":550000,"output":2750000}}]}},{"model_name":"hy-mt2-pro","description":"Tencent HY-MT2 Pro — flagship machine-translation tier for high-quality multilingual translation through the OpenAI Chat Completions protocol. Up to 4K input tokens and 4K output tokens; text-only.","specs":"{\"type\": \"llm\", \"context_window\": 8192, \"max_input_tokens\": 4096, \"max_output_tokens\": 4096, \"input_modalities\": [\"text\"], \"output_modalities\": [\"text\"]}","login_required":0,"tags":"Translation,Multilingual,Text","vendor_id":17,"quota_type":0,"model_ratio":0.037,"model_price":0,"owner_by":"","completion_ratio":3.9864864864864864,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai"],"capabilities":["text-multimodal"],"tasks":["chat"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"input":74000,"output":295000},"paid":null,"route_count":1}},{"model_name":"kimi-k2.7-code","description":"Moonshot Kimi K2.7 Code — Kimi's dedicated coding model, which the vendor measures as improving instruction compliance and long-horizon coding over K2.6 while cutting overthinking by about 30% on average. 256K context window, 32,768 default output tokens. Accepts text, images, and video as base64 content and returns text. Thinking is mandatory and returns an error if disabled; tool_choice is limited to auto or none and reasoning_content must be carried across multi-step tool calls.","specs":"{\"type\":\"llm\",\"context_window\":256000,\"max_output_tokens\":32768,\"input_modalities\":[\"text\",\"image\",\"video\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Files,Open Weights,Vision,Video,256K","vendor_id":3,"quota_type":0,"model_ratio":0.475,"model_price":0,"owner_by":"","completion_ratio":4.2105263157894735,"cache_ratio":0.2,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.95,"list_input_usd":0.95,"selling_usd":0.95,"unit":"text","list_source":"https://platform.kimi.ai/docs/pricing/chat","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.95,"selling_usd":0.95,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":4,"selling_usd":3.9999999999999996,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.19,"selling_usd":0.19,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":190000,"input":950000,"output":4000000},"paid":{"cache_read":190000,"input":950000,"output":4000000},"route_count":1}},{"model_name":"kimi-k3.1-pro","description":"Kimi K3.1 Pro — text reasoning for coding and agents. This route requires streaming. Use automatic tool selection and preserve reasoning history during tool calls. One-hour cache writes are not available on this route.","specs":"{\"type\": \"llm\", \"input_modalities\": [\"text\"], \"output_modalities\": [\"text\"], \"pricing_notes\": [\"Send stream=true. Non-stream requests are rejected before an upstream request because this route returned empty plain non-stream replies in acceptance.\", \"Use tool_choice=auto or omit tool_choice. Thinking and visible output share the output budget.\", \"Default 5-minute cache-write pricing equals input pricing. Explicit 1-hour TTL is rejected pending supplier cost verification.\"]}","login_required":0,"tags":"Reasoning,Tools,Streaming","vendor_id":3,"quota_type":0,"model_ratio":1,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"create_cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":2,"list_input_usd":2,"selling_usd":2,"unit":"text","list_source":"https://platform.kimi.ai/docs/pricing/chat","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":2,"selling_usd":2,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":10,"selling_usd":10,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.2,"selling_usd":0.2,"discount_pct":0,"verdict":"at_list"},{"face":"cache_write","list_usd":2,"selling_usd":2,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":200000,"cache_write":2000000,"input":2000000,"output":10000000},"paid":{"cache_read":130000,"cache_write":1300000,"input":1300000,"output":6500000},"route_count":1}},{"model_name":"qwen-audio-3.0-realtime-plus","description":"Alibaba Qwen-Audio-3.0-Realtime-Plus — full-duplex speech-to-speech conversation over a WebSocket session, which the vendor reports as first overall in the Artificial Analysis Speech-to-Speech ranking. The standard tier favours answer quality, keeping speech reasoning intact while parallel inference and end-to-end streaming hold response latency low. Reached over GET /v1/realtime. Audio input and audio output are billed on their own faces, well above the text rate.","specs":"{\"type\":\"llm\",\"input_modalities\":[\"text\",\"audio\"],\"output_modalities\":[\"text\",\"audio\"]}","login_required":0,"tags":"Realtime,Audio,Voice,Multilingual","vendor_id":4,"quota_type":0,"model_ratio":0.5,"model_price":0,"owner_by":"","completion_ratio":8,"cache_ratio":1,"audio_ratio":8,"audio_completion_ratio":30,"enable_groups":["default"],"supported_endpoint_types":["realtime"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"audio_input":8000000,"audio_output":30000000,"input":1000000,"output":8000000},"paid":null,"route_count":2}},{"model_name":"qwen-audio-3.1-tts-flash","description":"Alibaba Qwen-Audio-3.1-TTS-Flash produces multilingual and dialect speech for interactive applications. Instructions can guide speaking style and emotion. It is billed by the supplier-reported input text tokens and output audio tokens, rather than by characters.","specs":"{\"type\": \"audio\", \"input_modalities\": [\"text\"], \"output_modalities\": [\"audio\"]}","login_required":0,"tags":"Audio,TTS,Voice,Multilingual,Fast","vendor_id":4,"quota_type":0,"model_ratio":0.115,"model_price":0,"owner_by":"","completion_ratio":8.130434782608695,"audio_completion_ratio":8.130434782608695,"enable_groups":["default"],"supported_endpoint_types":["audio-speech"],"capabilities":["audio-speech"],"tasks":["text-to-speech"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","default_voice":"longanhuan_v3.1","default_response_format":"mp3","speech_input":"voice-name","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.23,"list_input_usd":0.23,"selling_usd":0.23,"unit":"text","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-11-10","faces":[{"face":"input","list_usd":0.23,"selling_usd":0.23,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":1.87,"selling_usd":1.87,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["audio_output"]},"book_faces":{"standard":{"audio_output":1870000,"input":230000,"output":1870000},"paid":null,"route_count":1}},{"model_name":"speech-2.8-turbo","description":"MiniMax speech-2.8-turbo — the low-latency tier of the 2.8 speech line, trading the HD model's ultra-realistic rendering for faster synthesis with natural flow. Covers the same 40 languages and 7 emotions, with configurable pitch, speech rate, volume, sample rate, bitrate, and output format, and accepts up to 1M characters asynchronously or 10,000 characters over the streaming interface.","login_required":0,"tags":"Audio,TTS,Multilingual,Low-latency","vendor_id":13,"quota_type":0,"model_ratio":30,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-speech"],"capabilities":["audio-speech"],"tasks":["text-to-speech"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"characters","default_voice":"alloy","default_response_format":"mp3","speech_input":"voice-name","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.6,"list_input_usd":0.6,"selling_usd":0.6,"unit":"tts","list_source":"https://platform.minimax.io/docs/guides/pricing-paygo","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.6,"selling_usd":0.6,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"input":60000000,"output":0},"paid":null,"route_count":1}},{"model_name":"claude-sonnet-5","description":"Anthropic Claude Sonnet 5 — a production model balancing frontier intelligence and speed for coding, agents, and enterprise workflows. It can plan, use browser and terminal tools, and run autonomously across reasoning, knowledge-work, and software-engineering tasks.","specs":"{\"type\":\"llm\",\"context_window\":1000000,\"max_output_tokens\":128000,\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"text\"],\"reasoning_efforts\":[\"low\",\"medium\",\"high\",\"xhigh\",\"max\"],\"pricing_notes\":[\"Standard: $2 input, $10 output, $0.20 cache read, $2.50 5-minute cache write, and $4 1-hour cache write per 1M tokens.\"]}","login_required":0,"icon":"Claude.Color","tags":"Reasoning,Tools,Vision,Multimodal,1M,Fast,Files","vendor_id":20,"quota_type":0,"model_ratio":1,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":2,"list_input_usd":2,"selling_usd":2,"unit":"text","list_source":"https://platform.claude.com/docs/en/about-claude/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":2,"selling_usd":2,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":10,"selling_usd":10,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.2,"selling_usd":0.2,"discount_pct":0,"verdict":"at_list"},{"face":"cache_write","list_usd":2.5,"selling_usd":2.5,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_write_1h"]},"book_faces":{"standard":{"cache_read":200000,"cache_write":2500000,"cache_write_1h":4000000,"input":2000000,"output":10000000},"paid":{"cache_read":110000,"cache_write":1375000,"cache_write_1h":2200000,"input":1100000,"output":5500000},"route_count":3}},{"model_name":"kimi-k2.6","description":"Moonshot Kimi K2.6 — general-purpose model for dialogue, code generation, visual understanding, and agent tasks, with stronger long-horizon code writing and autonomous execution than its predecessor. 256K context window, 32,768 default output tokens. Accepts text, images (png, jpeg, webp, gif), and video (mp4, mov, webm and more) as base64 content and returns text. Thinking mode is on by default and can be disabled; temperature is fixed at 1.0 with thinking and 0.6 without.","specs":"{\"type\":\"llm\",\"context_window\":256000,\"max_output_tokens\":32768,\"input_modalities\":[\"text\",\"image\",\"video\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Files,Open Weights,Vision,Video,256K","vendor_id":3,"quota_type":0,"model_ratio":0.475,"model_price":0,"owner_by":"","completion_ratio":4.2105263157894735,"cache_ratio":0.16842105263157894,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.95,"list_input_usd":0.95,"selling_usd":0.95,"unit":"text","list_source":"https://platform.kimi.ai/docs/pricing/chat","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.95,"selling_usd":0.95,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":4,"selling_usd":3.9999999999999996,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.16,"selling_usd":0.15999999999999998,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":160000,"input":950000,"output":4000000},"paid":{"cache_read":160000,"input":950000,"output":4000000},"route_count":1}},{"model_name":"stepaudio-3-tts","description":"StepFun StepAudio 3 TTS — text-to-speech from the StepAudio 3 series, built for human-level delivery: timbre, intonation, rhythm and breath follow natural speech, including laughter, hesitation and self-correction, and emotion and tone shift to fit the content. Served on POST /v1/audio/speech and billed per character of input text.","login_required":0,"tags":"Audio,TTS,Voice","vendor_id":18,"quota_type":0,"model_ratio":18,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-speech"],"capabilities":["audio-speech"],"tasks":["text-to-speech"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"characters","default_voice":"cixingnansheng","default_response_format":"mp3","speech_input":"voice-name","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.36,"list_input_usd":0.36,"selling_usd":0.36,"unit":"tts","list_source":"https://platform.stepfun.ai/docs/en/guides/pricing/details","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.36,"selling_usd":0.36,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"input":36000000,"output":0},"paid":null,"route_count":1}},{"model_name":"wan2.7-t2v","description":"Alibaba Wan2.7 (T2V) — text-to-video with upgraded acting, nuanced emotion, intense action, and dramatic camera cuts. Produces 720P or 1080P H.264 MP4 of 2-15 seconds (5s default) in 16:9, 9:16, 1:1, 4:3, or 3:4, from prompts up to 5000 characters. Audio is included by default: with no audio_url the model composes matching background music or sound effects, or a 2-30 second wav or mp3 track can be supplied instead.","login_required":0,"tags":"Video,Text-to-Video","vendor_id":4,"quota_type":1,"model_ratio":0,"model_price":0.1,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_second","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.1,"list_input_usd":0.1,"selling_usd":0.1,"unit":"per_second","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.1,"selling_usd":0.1,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"video_second":100000},"paid":null,"route_count":1}},{"model_name":"wan3.0-video","description":"Alibaba Wan3.0 (Video) — an all-in-one video model that unifies text-to-video, image-to-video and reference-to-video behind a single endpoint. Generates H.264 MP4 at 480P, 720P or 1080P, up to 30 seconds, from a prompt and an optional first-frame image URL. Billed per second of generated video against the vendor's own ladder: 720P is the base rate, 480P is charged at half of it and 1080P at double. A request that does not name a resolution is produced at 1080P by the model and is charged at that tier. Reference video and reference audio inputs exist in the vendor's model but are not carried on this endpoint.","login_required":0,"tags":"Video,Text-to-Video,Image-to-Video","vendor_id":4,"quota_type":1,"model_ratio":0,"model_price":0.1,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video","image-to-video"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_second","book_faces":{"standard":{"video_second":100000},"paid":{"video_second":100000},"route_count":1}},{"model_name":"claude-fable-5-2","description":"Claude Fable 5.2 supports native Messages, adaptive reasoning, function tools and complete original assistant/tool history. Thinking and signed history stay with the producing supplier. Other protocol conversions are not qualified on this route.","specs":"{\"context_window\": 1000000, \"max_output_tokens\": 128000, \"supported_features\": [\"streaming\", \"function-calling\", \"reasoning\", \"full-client-history\"], \"known_limits\": [\"Native Messages only; image input and other protocol conversions are not qualified.\", \"Signed/thinking/server-bound history must remain on the producing supplier.\", \"Provider data-retention and model identity are not independently attested.\", \"Extreme context/output limits are manufacturer specifications, not exhaustive live acceptance.\"]}","login_required":0,"tags":"1M,Reasoning,Tools","vendor_id":20,"quota_type":0,"model_ratio":4,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.025,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":200000,"cache_write":10000000,"cache_write_1h":16000000,"input":8000000,"output":40000000},"paid":{"cache_read":110000,"cache_write":10000000,"cache_write_1h":8800000,"input":4400000,"output":22000000},"route_count":2}},{"model_name":"gpt-6-astra","description":"OpenAI GPT-6 Astra — OpenAI's most capable model, built for the hardest end-to-end work: complex reasoning, coding, computer use, research, and document creation. It supports text and image input, a 1,050,000-token context window, up to 128,000 output tokens, and reasoning effort settings up to xhigh and max.","specs":"{\"type\": \"llm\", \"context_window\": 1050000, \"max_output_tokens\": 128000, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"], \"reasoning_efforts\": [\"low\", \"medium\", \"high\", \"xhigh\", \"max\"], \"pricing_notes\": [\"Standard: $10 input, $1 cached input, $12.50 cache write, and $50 output per 1M tokens.\", \"Above 272K input tokens, the full request uses 2x input and cache rates and 1.5x output pricing.\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,Multimodal,1M,Files","vendor_id":19,"quota_type":0,"model_ratio":5,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["openai","openai-response"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":10,"list_input_usd":10,"selling_usd":10,"unit":"text","list_source":"https://developers.openai.com/api/docs/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":10,"selling_usd":10,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":50,"selling_usd":50,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":1,"selling_usd":1,"discount_pct":0,"verdict":"at_list"},{"face":"cache_write","list_usd":12.5,"selling_usd":12.5,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":1000000,"cache_write":12500000,"input":10000000,"output":50000000},"paid":{"cache_read":550000,"cache_write":6875000,"input":5500000,"output":27500000},"route_count":2,"tier_count":2,"tiers":[{"tier":"long_context","standard":{"cache_read":2000000,"cache_write":25000000,"input":20000000,"output":75000000},"paid":{"cache_read":1100000,"cache_write":16250000,"input":11000000,"output":41250000},"when":[{"dim":"context_len","context_len_gt":272000}]},{"tier":"standard","standard":{"cache_read":1000000,"cache_write":12500000,"input":10000000,"output":50000000},"paid":{"cache_read":550000,"cache_write":6875000,"input":5500000,"output":27500000}}]}},{"model_name":"qwen-image-3.0","description":"Alibaba Qwen-Image-3.0 — the standard tier of the Qwen image line, covering text-to-image and image editing, with accurate rendering of small type (down to 10px), 12 languages, and 20+ typefaces. Accepts prompts up to 4,500 tokens, returns up to 6 images per request, and generates up to 2048x2048.","login_required":0,"tags":"Image,Editing","vendor_id":4,"quota_type":1,"model_ratio":0,"model_price":0.03,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image","image-editing"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.03,"list_input_usd":0.03,"selling_usd":0.03,"unit":"per_call","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.03,"selling_usd":0.03,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"per_call":30000},"paid":null,"route_count":1}},{"model_name":"step-3.7-flash","description":"StepFun step-3.7-flash — sparse MoE with 198B total and 11B active parameters, native 256K context, and native understanding of images and video alongside text. Reasoning depth is selectable per request through reasoning_effort (low / medium / high), and the model supports reliable multi-step tool calling, JSON Schema structured output, streaming, and prompt caching. Tuned for agent and coding workloads. On /v1/responses, send the whole conversation in the input array on every turn: no conversation state is kept upstream, so requests that carry previous_response_id or conversation are refused.","login_required":0,"tags":"Vision,Video,Reasoning,Tools,256K","vendor_id":18,"quota_type":0,"model_ratio":0.1,"model_price":0,"owner_by":"","completion_ratio":5.75,"cache_ratio":0.2,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai","openai-response"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.2,"list_input_usd":0.2,"selling_usd":0.2,"unit":"text","list_source":"https://platform.stepfun.ai/docs/en/guides/pricing/details","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.2,"selling_usd":0.2,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":1.15,"selling_usd":1.1500000000000001,"discount_pct":-0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.04,"selling_usd":0.04000000000000001,"discount_pct":-0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":40000,"input":200000,"output":1150000},"paid":null,"route_count":1}},{"model_name":"stepaudio-2.5-chat","description":"StepFun StepAudio 2.5 Chat — end-to-end speech understanding model: it takes audio or text in and returns text, reading paralinguistic signal such as hesitation and laughter from the waveform itself rather than from a transcript. Supports extensive persona customization covering character, speech habits, and emotional range. Audio is supplied as input_audio content parts on the chat completions endpoint. For spoken replies use a TTS model.","login_required":0,"tags":"Audio,Reasoning,Tools","vendor_id":18,"quota_type":0,"model_ratio":0.75,"model_price":0,"owner_by":"","completion_ratio":2.3333333333333335,"cache_ratio":0.2,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic"],"capabilities":["text-multimodal","audio-speech"],"tasks":["chat","reasoning","audio-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":1.5,"list_input_usd":1.5,"selling_usd":1.5,"unit":"text","list_source":"https://platform.stepfun.ai/docs/en/guides/pricing/details","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":1.5,"selling_usd":1.5,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":3.5,"selling_usd":3.5,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.3,"selling_usd":0.30000000000000004,"discount_pct":-0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":300000,"input":1500000,"output":3500000},"paid":null,"route_count":1}},{"model_name":"stepaudio-3-realtime-preview","description":"StepFun StepAudio 3 Realtime (preview) — StepFun's full-duplex voice model over a WebSocket session at GET /v1/realtime: natural interruption and turn-taking, adaptive reasoning while speaking, and tool calls during the conversation. Free while StepFun's preview runs. StepFun retires the preview name when the free period ends and releases a paid version, so plan for this model ID to stop working.","login_required":0,"tags":"Realtime,Audio,Voice","vendor_id":18,"quota_type":0,"model_ratio":0,"model_price":0,"owner_by":"","completion_ratio":0,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["realtime"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"audio_input":0,"audio_output":0,"cache_read":0,"input":0,"output":0},"paid":null,"route_count":1}},{"model_name":"wan2.7-image-pro","description":"Alibaba Wan 2.7 Image Pro — the professional tier of the Wan 2.7 image line, covering text-to-image, sequential image sets, image editing, and multi-image reference generation with improved prompt following. Text-to-image reaches 4K (4096x4096) with 1K and 2K tiers and custom sizes from 768x768; editing and sequential modes cap at 2K. Accepts up to 9 reference images (JPEG, JPG, PNG, BMP, WEBP; 240-8000 px per side, 20 MB each), aspect ratios from 1:8 to 8:1, and prompts up to 5000 characters. Returns PNG.","login_required":0,"tags":"Image,4K","vendor_id":4,"quota_type":1,"model_ratio":0,"model_price":0.075,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image","high-resolution"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.075,"list_input_usd":0.075,"selling_usd":0.075,"unit":"per_call","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.075,"selling_usd":0.075,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"per_call":75000},"paid":null,"route_count":1}},{"model_name":"deepseek-flash","description":"DeepSeek V4.1 Flash — the canonical model id for new integrations. It supports text and image input, thinking and non-thinking modes, tool calling and JSON output. The retired deepseek-v4-flash and deepseek-v4-flash-vision-exp ids remain compatibility aliases served by this same model at the same Flash price. 1M-token context window, 384K maximum output. On /v1/responses, send the whole conversation in the input array on every turn: no conversation state is kept upstream, so requests that carry previous_response_id or conversation are refused.","specs":"{\"type\":\"llm\",\"context_window\":1000000,\"max_output_tokens\":384000,\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,Multimodal,Open Weights,1M","vendor_id":1,"quota_type":0,"model_ratio":0.075,"model_price":0,"owner_by":"","completion_ratio":4,"cache_ratio":0.02,"enable_groups":["default"],"supported_endpoint_types":["openai","openai-response","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.15,"list_input_usd":0.15,"selling_usd":0.15,"unit":"text","list_source":"https://api-docs.deepseek.com/quick_start/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.15,"selling_usd":0.15,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":0.6,"selling_usd":0.6,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.003,"selling_usd":0.003,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":3000,"input":150000,"output":600000},"paid":null,"route_count":2,"tier_count":2,"has_time_condition":true,"tiers":[{"tier":"peak","standard":{"cache_read":6000,"input":300000,"output":1200000},"paid":null,"when":[{"dim":"wall_clock","timezone":"Asia/Shanghai","weekdays":[1,2,3,4,5],"hours":[9,10,11,14,15,16,17]}]},{"tier":"standard","standard":{"cache_read":3000,"input":150000,"output":600000},"paid":null}]}},{"model_name":"hy4","description":"Tencent Hy4 is the general-availability multimodal Hy model for reasoning, coding and long-running agent workflows, with text and image input, function tools and native Chat Completions, Responses and Messages. It is a separate model from hy4-preview. Cached-input discounts apply to reported cache hits.","specs":"{\"context_window\": 1000000, \"max_input_tokens\": 960000, \"max_output_tokens\": 64000, \"supported_features\": [\"streaming\", \"function-calling\", \"vision\", \"reasoning\", \"full-client-history\"], \"known_limits\": [\"Stored response continuation and server-side paid tools are not qualified.\", \"Conservative supplier cost uses the ordinary CNY list after the vendor promotion, not the temporary 50% rate.\"]}","login_required":0,"tags":"1M,Vision,Reasoning,Tools","vendor_id":17,"quota_type":0,"model_ratio":0.5,"model_price":0,"owner_by":"","completion_ratio":3,"cache_ratio":0.05,"enable_groups":["default"],"supported_endpoint_types":["openai","openai-response","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":50000,"input":1000000,"output":3000000},"paid":null,"route_count":1}},{"model_name":"qwen-audio-3.1-tts-plus","description":"Alibaba Qwen-Audio-3.1-TTS-Plus produces expressive multilingual and dialect speech from text. Instructions can guide speaking style, emotion and delivery. This quality-focused tier is billed by input characters, with no output charge.","specs":"{\"type\": \"audio\", \"input_modalities\": [\"text\"], \"output_modalities\": [\"audio\"]}","login_required":0,"tags":"Audio,TTS,Voice,Multilingual,Dialects","vendor_id":4,"quota_type":0,"model_ratio":15,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-speech"],"capabilities":["audio-speech"],"tasks":["text-to-speech"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"characters","default_voice":"longanlingxin_v3.1","default_response_format":"mp3","speech_input":"voice-name","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.3,"list_input_usd":0.3,"selling_usd":0.3,"unit":"tts","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-11-10","faces":[{"face":"input","list_usd":0.3,"selling_usd":0.3,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"input":30000000,"output":0},"paid":null,"route_count":1}},{"model_name":"qwen3.8-flash","description":"Alibaba Qwen3.8-Flash — the fast tier of the Qwen3.8 line, a natively multimodal model the vendor positions for coding assistance, agent collaboration, and image/document understanding at high throughput. 1,000,000-token context window. Accepts text, image, and video input and returns text; supports thinking mode, function calling, built-in tools, and structured outputs. Speaks both the OpenAI and the Anthropic Messages protocol.","specs":"{\"type\":\"llm\",\"context_window\":1000000,\"input_modalities\":[\"text\",\"image\",\"video\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Files,Vision,1M,Fast","vendor_id":4,"quota_type":0,"model_ratio":0.075,"model_price":0,"owner_by":"","completion_ratio":3.1333333333333333,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.15,"list_input_usd":0.15,"selling_usd":0.15,"unit":"text","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.15,"selling_usd":0.15,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":0.47,"selling_usd":0.47,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_read"]},"book_faces":{"standard":{"input":150000,"output":470000},"paid":{"input":112500,"output":352500},"route_count":2}},{"model_name":"speech-2.8-hd","description":"MiniMax speech-2.8-hd — the high-definition tier of the 2.8 speech line, positioned for ultra-realistic delivery with sound tags, covering 40 languages and 7 emotions. Pitch, speech rate, volume, sample rate, bitrate, and output format are configurable per request, and long-form synthesis accepts up to 1M characters asynchronously or 10,000 characters over the streaming interface.","login_required":0,"tags":"Audio,TTS,Multilingual,High-definition","vendor_id":13,"quota_type":0,"model_ratio":50,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-speech"],"capabilities":["audio-speech"],"tasks":["text-to-speech"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"characters","default_voice":"alloy","default_response_format":"mp3","speech_input":"voice-name","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":1,"list_input_usd":1,"selling_usd":1,"unit":"tts","list_source":"https://platform.minimax.io/docs/guides/pricing-paygo","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":1,"selling_usd":1,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"input":100000000,"output":0},"paid":null,"route_count":1}},{"model_name":"step-5-preview","description":"StepFun step-5-preview — StepFun's new flagship model for coding and professional knowledge work, released as a preview. 1M-token context with up to 64K output tokens, and native understanding of images and video alongside text. Reasoning is always on: it comes back as reasoning_content on /v1/chat/completions and as thinking blocks on /v1/messages, bills as output, and draws from max_tokens, so a limit of a few hundred tokens can be spent entirely on reasoning and return no text; leave generous headroom. Depth is selectable per request through reasoning_effort (low / medium / high). Supports multi-step tool calling, JSON Mode and JSON Schema structured output, streaming, and prompt caching. Built for long-document analysis, software engineering, and multi-step agent work. On /v1/responses, send the whole conversation in the input array on every turn: no conversation state is kept upstream, so requests that carry previous_response_id or conversation are refused.","login_required":0,"tags":"Vision,Video,Reasoning,Tools,1M","vendor_id":18,"quota_type":0,"model_ratio":0.5,"model_price":0,"owner_by":"","completion_ratio":2.7,"cache_ratio":0.05,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic","openai-response"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":50000,"input":1000000,"output":2700000},"paid":null,"route_count":1}},{"model_name":"claude-haiku-5-5","description":"Anthropic Claude Haiku 5.5 — fast, cost-efficient text and image understanding for classification, extraction, routing, and agents. It has a 1,000,000-token context window and supports up to 128,000 output tokens. Adaptive thinking defaults to medium effort; use output_config.effort in Messages to select low, medium, high, xhigh, or max. Streaming and forced tool calls are supported. Prompts over 100,000 input tokens use the higher rate for the whole request, including output and cache tokens.","specs":"{\"type\": \"llm\", \"context_window\": 1000000, \"max_output_tokens\": 128000, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"], \"reasoning_efforts\": [\"low\", \"medium\", \"high\", \"xhigh\", \"max\"], \"pricing_notes\": [\"Standard per 1M tokens at up to 100,000 input tokens: input $0.10, output $0.50, cache read $0.01, 5m cache write $0.125, and 1h cache write $0.20.\", \"Above 100,000 input tokens the entire request uses 5x rates: input $0.50, output $2.50, cache read $0.05, 5m cache write $0.625, and 1h cache write $1.00.\", \"Adaptive thinking defaults to medium. Use native Messages output_config.effort; omit temperature, top_p, and top_k. Forced tool calls are supported.\", \"Single LinkAI CC Coding carrier; upstream model identity is not independently certified.\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,Multimodal,1M,Fast","vendor_id":20,"quota_type":0,"model_ratio":0.05,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":10000,"cache_write":125000,"cache_write_1h":200000,"input":100000,"output":500000},"paid":{"cache_read":5500,"cache_write":68750,"cache_write_1h":110000,"input":55000,"output":275000},"route_count":5,"tier_count":2,"tiers":[{"tier":"long_context","standard":{"cache_read":50000,"cache_write":625000,"cache_write_1h":1000000,"input":500000,"output":2500000},"paid":{"cache_read":27500,"cache_write":343750,"cache_write_1h":550000,"input":275000,"output":1375000},"when":[{"dim":"context_len","context_len_gt":100000}]},{"tier":"standard","standard":{"cache_read":10000,"cache_write":125000,"cache_write_1h":200000,"input":100000,"output":500000},"paid":{"cache_read":5500,"cache_write":68750,"cache_write_1h":110000,"input":55000,"output":275000}}]}},{"model_name":"glm-tts","description":"Zhipu GLM-TTS — text-to-speech built on a two-stage generation architecture with GRPO reinforcement learning, which infers emotion and intonation from the surrounding text instead of requiring explicit markup. Ships seven built-in voices (tongtong by default, xiaochen, chuichui, jam, kazi, douji, luodo) with adjustable speed and volume, accepts up to 1024 characters per request, and streams with first-frame latency under 400 ms. Returns wav or pcm at a recommended 24 kHz sample rate; streaming is pcm only.","login_required":0,"tags":"Audio,TTS,Multilingual,Voice","vendor_id":2,"quota_type":0,"model_ratio":17.5,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-speech"],"capabilities":["audio-speech"],"tasks":["text-to-speech"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"characters","default_voice":"tongtong","default_response_format":"wav","speech_input":"voice-name","book_faces":{"standard":{"input":35000000,"output":0},"paid":{"input":31500000,"output":0},"route_count":1}},{"model_name":"M2-her","description":"MiniMax M2-her — conversational model built for role-play and multi-turn chat, with a 65,536-token context window and replies capped at 2,048 tokens (max_completion_tokens). Beyond system / user / assistant it accepts the vendor's extended message roles on the OpenAI-compatible chat endpoint: user_system (the user's persona), group (the conversation's name) and sample_message_user / sample_message_ai (example exchanges that steer the reply style). Every extended-role message must carry a name field; without it the vendor rejects the whole request with error 2013, while plain system/user/assistant messages need no name. Text only: no image input, and the vendor documents no tool calling or caching. Every call carries roughly 170 tokens of vendor-side persona overhead on top of the visible prompt, billed as input.","specs":"{\"type\": \"llm\", \"context_window\": 65536, \"max_output_tokens\": 2048, \"input_modalities\": [\"text\"], \"output_modalities\": [\"text\"]}","login_required":0,"tags":"64K","vendor_id":13,"quota_type":0,"model_ratio":0.15,"model_price":0,"owner_by":"","completion_ratio":4,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai"],"capabilities":["text-multimodal"],"tasks":["chat"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"input":300000,"output":1200000},"paid":null,"route_count":1}},{"model_name":"mimo-v2.6-flash","description":"Xiaomi MiMo-V2.6-Flash — efficient, low-cost reasoning model with open weights, natively full-modality: one model understands images, video, audio and text. 1M context and 128K max output, with deep thinking, function calling and structured output. Aimed at high-volume, everyday professional workloads where cost and throughput matter.","login_required":0,"tags":"Reasoning,Tools,Files,Vision,Video,Audio,Multimodal,Open Weights,Low-cost,1M","vendor_id":16,"quota_type":0,"model_ratio":0.07,"model_price":0,"owner_by":"","completion_ratio":2,"cache_ratio":0.02,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic","openai-response"],"capabilities":["text-multimodal","audio-speech"],"tasks":["chat","reasoning","vision","file-video-understanding","audio-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.14,"list_input_usd":0.14,"selling_usd":0.14,"unit":"text","list_source":"https://mimo.mi.com/docs/zh-CN/price/pay-as-you-go","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.14,"selling_usd":0.14,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":0.28,"selling_usd":0.28,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.0028,"selling_usd":0.0028000000000000004,"discount_pct":-0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":2800,"input":140000,"output":280000},"paid":{"cache_read":2520,"input":126000,"output":252000},"route_count":2}},{"model_name":"mimo-v2.6-pro-ultraspeed","description":"Xiaomi MiMo-V2.6-Pro UltraSpeed — MiMo-V2.6-Pro served in Xiaomi's ultra-fast mode, with output up to 20x faster than the standard model, for real-time interaction and latency-sensitive production. Same capabilities as mimo-v2.6-pro: full-modality understanding of images, video, audio and text, 1M context, 128K max output, deep thinking, function calling and structured output. Priced at ten times mimo-v2.6-pro; Xiaomi provisions capacity for this mode separately, so heavy bursts can be rate-limited.","login_required":0,"tags":"Reasoning,Tools,Files,Vision,Video,Audio,Multimodal,Fast,Low-latency,1M","vendor_id":16,"quota_type":0,"model_ratio":2.175,"model_price":0,"owner_by":"","completion_ratio":2,"cache_ratio":0.008275862068965517,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic","openai-response"],"capabilities":["text-multimodal","audio-speech"],"tasks":["chat","reasoning","vision","file-video-understanding","audio-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":4.35,"list_input_usd":4.35,"selling_usd":4.35,"unit":"text","list_source":"https://mimo.mi.com/docs/zh-CN/price/pay-as-you-go","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":4.35,"selling_usd":4.35,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":8.7,"selling_usd":8.7,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.036,"selling_usd":0.036,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":36000,"input":4350000,"output":8700000},"paid":null,"route_count":1}},{"model_name":"qwen3.8-max","description":"Alibaba Qwen3.8-Max — 2.4-trillion-parameter MoE flagship and the most capable model in the Qwen family, with the vendor citing major gains in coding and office productivity. 1,000,000-token context window (991,808 max input, 983,616 in thinking mode), up to 131,072 output tokens, and a 262,144-token chain-of-thought budget. Accepts text, image, and video input and returns text; supports function calling, structured outputs, and context caching.","specs":"{\"type\":\"llm\",\"context_window\":1000000,\"max_output_tokens\":131072,\"input_modalities\":[\"text\",\"image\",\"video\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,1M","vendor_id":4,"quota_type":0,"model_ratio":1,"model_price":0,"owner_by":"","completion_ratio":3,"cache_ratio":0.125,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":250000,"cache_write":2500000,"input":2000000,"output":6000000},"paid":{"cache_read":250000,"cache_write":2500000,"input":2000000,"output":6000000},"route_count":1}},{"model_name":"MiniMax-M2.5","description":"MiniMax M2.5 — text model the vendor positions on top-tier performance at a low price for complex tasks, with a 204,800-token context window and output at roughly 60 tokens per second. Text only: the API accepts text and tool-call content blocks, not images or video. Vendor-designated legacy model that MiniMax states it still serves normally; carried for version compatibility, since customers pin a model name to a generation. Open weights are published on Hugging Face.","specs":"{\"type\": \"llm\", \"context_window\": 204800, \"input_modalities\": [\"text\"], \"output_modalities\": [\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Open Weights,200K","vendor_id":13,"quota_type":0,"model_ratio":0.15,"model_price":0,"owner_by":"","completion_ratio":4,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":30000,"cache_write":375000,"input":300000,"output":1200000},"paid":{"cache_read":19500,"cache_write":243750,"input":195000,"output":780000},"route_count":2}},{"model_name":"glm-5.2","description":"Zhipu GLM-5.2 — flagship foundation model specialised for long-horizon coding-agent work through months of dedicated training rather than a context extension alone, with a 1M-token context window and up to 128K output tokens. Text in, text out. Supports multiple thinking modes, function calling, structured JSON output, streaming, context caching, and MCP tool integration.","specs":"{\"type\":\"llm\",\"context_window\":1000000,\"max_output_tokens\":128000,\"input_modalities\":[\"text\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Open Weights,1M","vendor_id":2,"quota_type":0,"model_ratio":0.7,"model_price":0,"owner_by":"","completion_ratio":3.142857142857143,"cache_ratio":0.18571428571428572,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":1.4,"list_input_usd":1.4,"selling_usd":1.4,"unit":"text","list_source":"https://docs.z.ai/guides/overview/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":1.4,"selling_usd":1.4,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":4.4,"selling_usd":4.3999999999999995,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.26,"selling_usd":0.26,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":260000,"input":1400000,"output":4400000},"paid":{"cache_read":247000,"input":1330000,"output":4180000},"route_count":1}},{"model_name":"gpt-5.6-luna","description":"OpenAI GPT-5.6 Luna — the fastest and most affordable GPT-5.6 tier, optimized for cost-sensitive, high-volume workloads while retaining reasoning, vision, and tool use. It supports text and image input, a 1,050,000-token context window, and up to 128,000 output tokens.","specs":"{\"type\":\"llm\",\"context_window\":1050000,\"max_output_tokens\":128000,\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"text\"],\"reasoning_efforts\":[\"none\",\"low\",\"medium\",\"high\",\"xhigh\",\"max\"],\"pricing_notes\":[\"Standard: $1 input, $0.10 cached input, and $6 output per 1M tokens.\",\"Above 272K input tokens, the full request uses 2x input and 1.5x output pricing.\"]}","login_required":0,"icon":"OpenAI","tags":"Reasoning,Tools,Vision,Multimodal,1M,Fast,Low-cost,Files","vendor_id":19,"quota_type":0,"model_ratio":0.1,"model_price":0,"owner_by":"","completion_ratio":6,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai","openai-response"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.2,"list_input_usd":0.2,"selling_usd":0.2,"unit":"text","list_source":"https://developers.openai.com/api/docs/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.2,"selling_usd":0.2,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":1.2,"selling_usd":1.2000000000000002,"discount_pct":-0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.02,"selling_usd":0.020000000000000004,"discount_pct":-0,"verdict":"at_list"},{"face":"cache_write","list_usd":0.25,"selling_usd":0.25,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_write_1h"]},"book_faces":{"standard":{"cache_read":20000,"cache_write":250000,"cache_write_1h":200000,"input":200000,"output":1200000},"paid":{"cache_read":17000,"cache_write":212500,"cache_write_1h":200000,"input":170000,"output":1020000},"route_count":2,"tier_count":2,"tiers":[{"tier":"long_context","standard":{"cache_read":40000,"cache_write":500000,"cache_write_1h":400000,"input":400000,"output":1800000},"paid":{"cache_read":34000,"cache_write":425000,"cache_write_1h":400000,"input":340000,"output":1530000},"when":[{"dim":"context_len","context_len_gt":272000}]},{"tier":"standard","standard":{"cache_read":20000,"cache_write":250000,"cache_write_1h":200000,"input":200000,"output":1200000},"paid":{"cache_read":17000,"cache_write":212500,"cache_write_1h":200000,"input":170000,"output":1020000}}]}},{"model_name":"deepseek-v4-pro","description":"DeepSeek V4 Pro 0813 — the higher-capability DeepSeek V4 tier for coding, reasoning, and agentic work, with a 1M-token context window and a 384K maximum output. It runs in both thinking (default) and non-thinking modes and supports tool calling and JSON output. Text in, text out. On /v1/responses, send the whole conversation in the input array on every turn: no conversation state is kept upstream, so requests that carry previous_response_id or conversation are refused.","specs":"{\"type\":\"llm\",\"context_window\":1000000,\"max_output_tokens\":384000,\"input_modalities\":[\"text\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Open Weights,1M","vendor_id":1,"quota_type":0,"model_ratio":0.33,"model_price":0,"owner_by":"","completion_ratio":3,"cache_ratio":0.03333333333333333,"enable_groups":["default"],"supported_endpoint_types":["openai","openai-response","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.66,"list_input_usd":0.66,"selling_usd":0.66,"unit":"text","list_source":"https://api-docs.deepseek.com/quick_start/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.66,"selling_usd":0.66,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":1.98,"selling_usd":1.98,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.022,"selling_usd":0.022000000000000002,"discount_pct":-0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":22000,"input":660000,"output":1980000},"paid":null,"route_count":1,"tier_count":2,"has_time_condition":true,"tiers":[{"tier":"peak","standard":{"cache_read":44000,"input":1320000,"output":3960000},"paid":null,"when":[{"dim":"wall_clock","timezone":"Asia/Shanghai","weekdays":[1,2,3,4,5],"hours":[9,10,11,14,15,16,17]}]},{"tier":"standard","standard":{"cache_read":22000,"input":660000,"output":1980000},"paid":null}]}},{"model_name":"doubao-seed-character-260628","description":"ByteDance Doubao Seed Character (260628) — Doubao's character-dialogue model for persona-driven, multi-turn conversation, the successor line to doubao-1-5-pro-32k-character. This build carries the vendor's deep thinking, text generation, multimodal understanding, tool calling, and structured output (json_schema recommended) capability labels. 128K context window with 96K maximum input and up to 32K output tokens (4K by default). Priced by input length: requests up to 32K input tokens bill at the standard tier; longer requests bill at the long-context tier, where input costs 1.5 times and output three times the standard-tier rate.","specs":"{\"type\": \"llm\", \"context_window\": 128000, \"max_input_tokens\": 96000, \"max_output_tokens\": 32000, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"], \"pricing_notes\": [\"Standard tier (input up to 32K tokens): CNY 0.80 input, 0.16 cached input, 2.00 output per 1M tokens.\", \"Long-context tier (input above 32K tokens): CNY 1.20 input, 0.16 cached input, 6.00 output per 1M tokens.\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,128K","vendor_id":5,"quota_type":0,"model_ratio":0.059259,"model_price":0,"owner_by":"","completion_ratio":2.500008437536914,"cache_ratio":0.19999493747785146,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":23703,"input":118518,"output":296296},"paid":null,"route_count":1,"tier_count":2,"tiers":[{"tier":"long_context","standard":{"cache_read":23703,"input":177777,"output":888888},"paid":null,"when":[{"dim":"context_len","context_len_gt":32000}]},{"tier":"standard","standard":{"cache_read":23703,"input":118518,"output":296296},"paid":null}]}},{"model_name":"gemini-2.5-flash-image","description":"Google Gemini 2.5 Flash Image (Nano Banana) — a fast native image generation and editing model for creative workflows. It takes text and image input and returns images through the OpenAI-compatible chat completions endpoint, with a 65,536-token input limit and 32,768-token output limit.","specs":"{\"type\": \"image\", \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"image\"], \"resolutions\": [\"1024x1024\"], \"request_protocol\": \"OpenAI Chat Completions\", \"image_response_path\": \"choices[0].message.content\", \"health_probe\": {\"endpoint_type\": \"openai\", \"prompt\": \"A simple blue circle on a white background.\"}, \"pricing_notes\": [\"Standard: $0.30 text/image input and $2.50 text output per 1M tokens; image output is carried as img_o * 30 per 1M image tokens.\", \"65,536 input and 32,768 output token limits, smaller than the gemini-2.5-flash sibling.\"]}","login_required":0,"icon":"Gemini.Color","tags":"Google,image","vendor_id":21,"quota_type":0,"model_ratio":0.15,"model_price":0,"owner_by":"","completion_ratio":8.333333333333334,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai","gemini"],"capabilities":["text-multimodal","image"],"tasks":["chat","text-to-image"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"image_output":30000000,"input":300000,"output":2500000},"paid":{"image_output":21000000,"input":210000,"output":1750000},"route_count":1}},{"model_name":"jev-1.13","description":"TypeSafe Jev 1.13 — a System One decision model, not a chat model. Send your application's state (a string, JSON object or array) with a set of typed questions on POST /v1/systemone — choice (pick one of your options), score (place it on your ordered levels) or noul (the probability that a yes/no statement holds) — and get typed answers back with a probability for every option and a confidence value, usually within 70–500 ms. All questions are evaluated in parallel against the same state, so several can share one request. The official TypeSafe Python and JavaScript SDKs work unchanged with the base URL set to https://api.chinaapi.ai. Billed per input token; output is free. Text input only, up to 32K tokens per request; English is the primary language, so test other languages before relying on them.","specs":"{\"type\": \"decision\", \"context_window\": 32000, \"input_modalities\": [\"text\"], \"output_modalities\": [\"decisions\"]}","login_required":0,"icon":"https://dash.chinaapi.ai/providers/typesafe.png","tags":"Text,Low-latency,Low-cost","vendor_id":27,"quota_type":0,"model_ratio":0.0231,"model_price":0,"owner_by":"","completion_ratio":0,"enable_groups":["default"],"supported_endpoint_types":["system-one"],"capabilities":["decision"],"tasks":["structured-decision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"input":46200,"output":0},"paid":null,"route_count":1}},{"model_name":"claude-opus-4-7","description":"Anthropic Claude Opus 4.7 — an advanced reasoning model for difficult software engineering and complex, long-running agentic tasks. It emphasizes rigorous instruction following, self-verification, reliable tool use, and high-resolution vision across interfaces, images, documents, and professional workflows.","specs":"{\"type\":\"llm\",\"context_window\":1000000,\"max_output_tokens\":128000,\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"text\"],\"reasoning_efforts\":[\"low\",\"medium\",\"high\"],\"pricing_notes\":[\"Standard: $5 input, $25 output, $0.50 cache read, $6.25 5-minute cache write, and $10 1-hour cache write per 1M tokens.\"]}","login_required":0,"icon":"Claude.Color","tags":"Reasoning,Tools,Vision,Multimodal,1M,Files","vendor_id":20,"quota_type":0,"model_ratio":2.5,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":5,"list_input_usd":5,"selling_usd":5,"unit":"text","list_source":"https://platform.claude.com/docs/en/about-claude/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":5,"selling_usd":5,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":25,"selling_usd":25,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.5,"selling_usd":0.5,"discount_pct":0,"verdict":"at_list"},{"face":"cache_write","list_usd":6.25,"selling_usd":6.25,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_write_1h"]},"book_faces":{"standard":{"cache_read":500000,"cache_write":6250000,"cache_write_1h":10000000,"input":5000000,"output":25000000},"paid":{"cache_read":275000,"cache_write":3437500,"cache_write_1h":5500000,"input":2750000,"output":13750000},"route_count":3}},{"model_name":"claude-opus-5-5","description":"Anthropic Claude Opus 5.5 — built for long-running agentic coding and knowledge work, at a lower price than Claude Opus 5. It accepts text and image input, has a 1,000,000-token context window, and supports up to 128,000 output tokens. Adaptive thinking is always on; the effort setting controls how deeply it reasons, with medium as the default.","specs":"{\"type\": \"llm\", \"context_window\": 1000000, \"max_output_tokens\": 128000, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"], \"reasoning_efforts\": [\"low\", \"medium\", \"high\", \"xhigh\", \"max\"], \"pricing_notes\": [\"Standard: $4 input, $20 output, $0.20 cache read, $5 5-minute cache write, and $8 1-hour cache write per 1M tokens.\", \"Adaptive thinking is always on and cannot be disabled; medium is the default effort and the full low-to-max effort ladder is supported.\", \"Forced tool use is not supported: tool_choice any or a named tool returns a 400; auto and none work.\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,Multimodal,1M,Files","vendor_id":20,"quota_type":0,"model_ratio":2,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.05,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":4,"list_input_usd":4,"selling_usd":4,"unit":"text","list_source":"https://platform.claude.com/docs/en/about-claude/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":4,"selling_usd":4,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":20,"selling_usd":20,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.2,"selling_usd":0.2,"discount_pct":0,"verdict":"at_list"},{"face":"cache_write","list_usd":5,"selling_usd":5,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_write_1h"]},"book_faces":{"standard":{"cache_read":200000,"cache_write":5000000,"cache_write_1h":8000000,"input":4000000,"output":20000000},"paid":{"cache_read":110000,"cache_write":2750000,"cache_write_1h":4400000,"input":2200000,"output":11000000},"route_count":5}},{"model_name":"gpt-image-2.5-sunburst","description":"OpenAI GPT Image 2.5 Sunburst — an image generation and editing model from OpenAI's GPT Image 2.5 line. Sunburst and gpt-image-2.5-flare are separate builds, not aliases of one model, sold at the same price; public leaderboards score them separately. Standard token pricing is $5 text input, $1.25 cached input, $8 image input, and $30 image output per 1M tokens.","specs":"{\"type\": \"image\", \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"image\"], \"resolutions\": [\"1024x1024\", \"1536x1024\", \"1024x1536\", \"auto\"], \"health_probe\": {\"endpoint_type\": \"image-generation\", \"prompt\": \"A simple blue circle on a white background.\", \"size\": \"1024x1024\"}, \"pricing_notes\": [\"Standard: $5 text input, $1.25 cached input, $8 image input, and $30 image output per 1M tokens.\"]}","login_required":0,"tags":"OpenAI,image","vendor_id":19,"quota_type":0,"model_ratio":2.5,"model_price":0,"owner_by":"","completion_ratio":6,"cache_ratio":0.25,"image_ratio":1.6,"enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":5,"list_input_usd":5,"selling_usd":5,"unit":"text","list_source":"https://developers.openai.com/api/docs/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":5,"selling_usd":5,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":30,"selling_usd":30,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":1.25,"selling_usd":1.25,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["image_input","image_output"]},"book_faces":{"standard":{"cache_read":1250000,"image_input":8000000,"image_output":30000000,"input":5000000,"output":30000000},"paid":{"cache_read":1250000,"image_input":6400000,"image_output":24000000,"input":4000000,"output":24000000},"route_count":2}},{"model_name":"gpt-image-2.6-flare","description":"GPT Image 2.6 Flare provides direct Images generation and editing with separately metered text and image input. This route qualifies non-streaming PNG output; SVG, GIF, markup/complexity extensions, Responses image tools and cached-input billing are not qualified.","specs":"{\"supported_features\": [\"image-generation\", \"image-editing\"], \"known_limits\": [\"Qualified output: non-streaming 1024x1024 PNG, quality=low. Other sizes/qualities are not separately certified.\", \"stream=true is rejected before dispatch; an unexpected upstream stream is not delivered.\", \"Reported cached input without qualified modality billing is rejected before delivery, without customer settlement.\", \"SVG, animated GIF, markup/complexity controls and Responses image tools are not qualified.\"], \"qualified_endpoints\": [\"/v1/images/generations\", \"/v1/images/edits\"]}","login_required":0,"tags":"Image,image-generation,image-editing","vendor_id":19,"quota_type":0,"model_ratio":2.5,"model_price":0,"owner_by":"","completion_ratio":6,"image_ratio":1.6,"enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image","image-editing"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"image_input":8000000,"input":5000000,"output":30000000},"paid":{"image_input":6800000,"input":4250000,"output":25500000},"route_count":1}},{"model_name":"LongCat-2.0","description":"Meituan LongCat-2.0 — 1.6T-parameter open MoE model with native 1M context, built for agentic coding and long-horizon tool use. Text-only reasoning model.","login_required":0,"tags":"Reasoning,Tools,Open Weights,1M","vendor_id":15,"quota_type":0,"model_ratio":0.15,"model_price":0,"owner_by":"","completion_ratio":4,"cache_ratio":0.02,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.3,"list_input_usd":0.3,"selling_usd":0.3,"unit":"text","list_source":"https://longcat.ai/platform/docs/pricing/long-cat-2.0","verified_at":"2026-11-11","faces":[{"face":"input","list_usd":0.3,"selling_usd":0.3,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":1.2,"selling_usd":1.2,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.006,"selling_usd":0.006,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":6000,"input":300000,"output":1200000},"paid":null,"route_count":1}},{"model_name":"mimo-v2.5-tts","description":"Xiaomi MiMo v2.5 TTS — expressive text-to-speech with eight built-in voices, four Chinese and four English (Mia, Chloe, Milo, Dean), covering Chinese and English plus Northeastern, Sichuanese, Henan, and Cantonese dialect styles. Delivery is directed two ways: natural-language style instructions, and inline audio tags for basic and compound emotions, breathing, sighing, and pacing, including a singing mode unique to this model in the MiMo TTS line. Returns 24 kHz mono wav or pcm16 and supports low-latency streaming, which requires pcm16. 8K context and 8K maximum output.","login_required":0,"tags":"Audio,TTS,Voice","vendor_id":16,"quota_type":0,"model_ratio":0,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-speech"],"capabilities":["audio-speech"],"tasks":["text-to-speech"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"characters","default_voice":"alloy","default_response_format":"mp3","speech_input":"voice-name","book_faces":{"standard":{"input":0,"output":0},"paid":null,"route_count":1}},{"model_name":"qwen3.5-ocr","description":"Alibaba Qwen3.5-OCR — the OCR member of the Qwen3.5 line, built for document parsing, text localisation, and key-information extraction, with the vendor citing marked gains on real-world identity and licence documents. Accepts text and image input and returns text.","specs":"{\"type\":\"llm\",\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Vision,Files","vendor_id":4,"quota_type":0,"model_ratio":0.05,"model_price":0,"owner_by":"","completion_ratio":3.5,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"input":100000,"output":350000},"paid":null,"route_count":1}},{"model_name":"stepaudio-3-gen-preview","description":"StepFun StepAudio 3 Audio Generation (preview) — scripted audio from the StepAudio 3 series on POST /v1/audio/generate: define roles with a name and a voice description in plain language, write the script line by line (lines in square brackets become sound effects or background music), add an overall instruction, and get the finished audio back as bytes (mp3 by default). Voices come from the role descriptions; preset voice names are not accepted. Request fields follow StepFun's API reference. Free while StepFun's preview runs; StepFun retires the preview name when the free period ends and releases a paid version, so plan for this model ID to stop working at that point.","specs":"{\"type\": \"audio-generation\", \"input_modalities\": [\"text\"], \"output_modalities\": [\"audio\"], \"pricing_notes\": [\"Free while StepFun's preview runs; per call.\"]}","login_required":0,"tags":"Audio,Sound,Voice","vendor_id":18,"quota_type":1,"model_ratio":0,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-generation"],"capabilities":["audio-speech"],"tasks":["audio-generation"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","book_faces":{"standard":{"per_call":0},"paid":null,"route_count":1}},{"model_name":"hy-mt2-plus","description":"Tencent HY-MT2 Plus — instruction-following multilingual translation tier through the OpenAI Chat Completions protocol. Up to 4K input tokens and 4K output tokens; text-only.","specs":"{\"type\": \"llm\", \"context_window\": 8192, \"max_input_tokens\": 4096, \"max_output_tokens\": 4096, \"input_modalities\": [\"text\"], \"output_modalities\": [\"text\"]}","login_required":0,"tags":"Translation,Multilingual,Text","vendor_id":17,"quota_type":0,"model_ratio":0.037,"model_price":0,"owner_by":"","completion_ratio":3.9864864864864864,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai"],"capabilities":["text-multimodal"],"tasks":["chat"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"input":74000,"output":295000},"paid":null,"route_count":1}},{"model_name":"hy3","description":"Tencent Hunyuan 3 (Hy3) — 295B-parameter (21B active) MoE model, native 256K context, three thinking modes (fast / low / deep). Strong at coding agents, long-document understanding, multi-turn context, and multi-step agent workflows. Text-only.","login_required":0,"tags":"Reasoning,Tools,256K","vendor_id":17,"quota_type":0,"model_ratio":0.066,"model_price":0,"owner_by":"","completion_ratio":4,"cache_ratio":0.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":33000,"input":132000,"output":528000},"paid":null,"route_count":1}},{"model_name":"hy4-preview","description":"Tencent Hunyuan 4 preview (Hy4 preview) — 1M-token context window (960K max input, 64K max output) with deep thinking (which Tencent labels preserved thinking), structured output, function calling and prompt caching. Text-only. Preview SKU: Tencent retires a preview model once its general-availability version ships.","login_required":0,"tags":"Reasoning,Tools,1M","vendor_id":17,"quota_type":0,"model_ratio":0.417,"model_price":0,"owner_by":"","completion_ratio":2.998800959232614,"cache_ratio":0.050359712230215826,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":42000,"input":834000,"output":2501000},"paid":null,"route_count":1}},{"model_name":"kling-v3-omni","description":"Kling 3.0 Omni — reference-based multi-image video generation. Listed price is the std tier (720p, 5s, no audio, no reference video). Requests that do not set mode use the upstream default pro tier, which bills 1.33x — about $0.56 for the same 5s clip; 4k bills 5x. Pass mode=std to be charged the listed price.","login_required":0,"tags":"Video,Reference-to-Video","vendor_id":6,"quota_type":1,"model_ratio":0,"model_price":0.42,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["reference-to-video"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","book_faces":{"standard":{"per_call":420000},"paid":null,"route_count":1}},{"model_name":"MiniMax-Hailuo-2.3","description":"MiniMax Hailuo 2.3 — text-to-video and image-to-video that the vendor positions on instruction following, at 24 fps, with 768p available as 6-second or 10-second clips and 1080p at 6 seconds. 768p 6s = $0.28.","login_required":0,"tags":"Video,Text-to-Video,Image-to-Video","vendor_id":13,"quota_type":1,"model_ratio":0,"model_price":0.28,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video","image-to-video"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.28,"list_input_usd":0.28,"selling_usd":0.28,"unit":"per_call","list_source":"https://platform.minimax.io/docs/guides/pricing-paygo","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.28,"selling_usd":0.28,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"per_call":280000},"paid":null,"route_count":1}},{"model_name":"claude-opus-4-6","description":"Anthropic Claude Opus 4.6 — the Opus generation for complex reasoning and agentic work, with a 1,000,000-token context window at standard pricing and up to 128,000 output tokens. It supports text and image input and adaptive thinking, and uses the pre-4.7 tokenizer.","specs":"{\"type\": \"llm\", \"context_window\": 1000000, \"max_output_tokens\": 128000, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"], \"reasoning_efforts\": [\"none\", \"low\", \"medium\", \"high\"], \"pricing_notes\": [\"Standard: $5 input, $0.50 cache hit, $6.25 5-minute cache write, and $25 output per 1M tokens.\"]}","login_required":0,"icon":"Claude.Color","tags":"Reasoning,Tools,Vision,Multimodal,1M","vendor_id":20,"quota_type":0,"model_ratio":2.5,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":5,"list_input_usd":5,"selling_usd":5,"unit":"text","list_source":"https://platform.claude.com/docs/en/about-claude/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":5,"selling_usd":5,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":25,"selling_usd":25,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.5,"selling_usd":0.5,"discount_pct":0,"verdict":"at_list"},{"face":"cache_write","list_usd":6.25,"selling_usd":6.25,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_write_1h"]},"book_faces":{"standard":{"cache_read":500000,"cache_write":6250000,"cache_write_1h":10000000,"input":5000000,"output":25000000},"paid":{"cache_read":275000,"cache_write":3437500,"cache_write_1h":5500000,"input":2750000,"output":13750000},"route_count":3}},{"model_name":"qwen3.7-flash","description":"Alibaba Qwen3.7-Flash — the fast tier of the Qwen3.7 native vision-language line, which the vendor highlights for multimodal agent work (search and CI agents) and for steadier end-to-end task execution than 3.6-Flash. 1,000,000-token context window, up to 65,536 output tokens, and up to 256 images or 64 videos per request. Accepts text, image, and video input and returns text; supports thinking mode, function calling, built-in tools, and structured outputs. Priced in three context bands, so a long-context request costs more per token than a short one.","specs":"{\"type\":\"llm\",\"context_window\":1000000,\"max_output_tokens\":65536,\"input_modalities\":[\"text\",\"image\",\"video\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Files,Vision,1M,Fast","vendor_id":4,"quota_type":0,"model_ratio":0.015,"model_price":0,"owner_by":"","completion_ratio":4.333333333333333,"cache_ratio":0.2,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.03,"list_input_usd":0.03,"selling_usd":0.03,"unit":"text","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.03,"selling_usd":0.03,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":0.13,"selling_usd":0.12999999999999998,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.006,"selling_usd":0.006,"discount_pct":0,"verdict":"at_list"},{"face":"cache_write","list_usd":0.0375,"selling_usd":0.0375,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":6000,"cache_write":37500,"input":30000,"output":130000},"paid":null,"route_count":1,"tier_count":3,"tiers":[{"tier":"context_256k_1m","standard":{"cache_read":40000,"cache_write":250000,"input":200000,"output":800000},"paid":null,"when":[{"dim":"context_len","context_len_gt":256000}]},{"tier":"context_32k_256k","standard":{"cache_read":20000,"cache_write":125000,"input":100000,"output":400000},"paid":null,"when":[{"dim":"context_len","context_len_gt":32000}]},{"tier":"standard","standard":{"cache_read":6000,"cache_write":37500,"input":30000,"output":130000},"paid":null}]}},{"model_name":"step-3.5-flash-2603","description":"StepFun step-3.5-flash-2603 — the agent-tuned 256K snapshot of step-3.5-flash, optimized for token efficiency and a low-inference operating mode. Its reasoning_effort parameter accepts only low and high, where the base model takes three levels, so code that sends medium must be adapted. Text-only; supports tool calling, JSON Schema structured output, streaming, and prompt caching.","login_required":0,"tags":"Reasoning,Tools,256K","vendor_id":18,"quota_type":0,"model_ratio":0.05,"model_price":0,"owner_by":"","completion_ratio":3,"cache_ratio":0.2,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.1,"list_input_usd":0.1,"selling_usd":0.1,"unit":"text","list_source":"https://platform.stepfun.ai/docs/en/guides/pricing/details","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.1,"selling_usd":0.1,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":0.3,"selling_usd":0.30000000000000004,"discount_pct":-0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.02,"selling_usd":0.020000000000000004,"discount_pct":-0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":20000,"input":100000,"output":300000},"paid":null,"route_count":1}},{"model_name":"wan2.7-image","description":"Alibaba Wan2.7 Image — text-to-image, image editing, multi-image reference generation, interactive editing, strong text rendering and instruction following.","login_required":0,"tags":"Image","vendor_id":4,"quota_type":1,"model_ratio":0,"model_price":0.03,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.03,"list_input_usd":0.03,"selling_usd":0.03,"unit":"per_call","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.03,"selling_usd":0.03,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"per_call":30000},"paid":null,"route_count":1}},{"model_name":"wan2.7-r2v","description":"Alibaba Wan2.7 (R2V) — reference-to-video, up to 5 mixed image/video refs + audio-timbre reference, stronger character/prop/scene consistency.","login_required":0,"tags":"Video,Reference-to-Video","vendor_id":4,"quota_type":1,"model_ratio":0,"model_price":0.1,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["reference-to-video"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_second","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.1,"list_input_usd":0.1,"selling_usd":0.1,"unit":"per_second","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.1,"selling_usd":0.1,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"video_second":100000},"paid":null,"route_count":1}},{"model_name":"agnes-image-2.1-flash","description":"Agnes AI Image 2.1 Flash — a detail-focused image generation and editing model for high-information-density scenes, text-to-image, image-to-image, and multi-image composition across flexible 1K–4K sizes and aspect ratios.","specs":"{\"type\":\"image\",\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"image\"]}","login_required":0,"icon":"https://dash.chinaapi.ai/providers/agnes.png","tags":"Image,Editing,High-definition","vendor_id":25,"quota_type":1,"model_ratio":0,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image","image-editing"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","book_faces":{"standard":{"per_call":0},"paid":null,"route_count":1}},{"model_name":"claude-opus-4-8","description":"Anthropic Claude Opus 4.8 — a highly capable reasoning model for coding, agentic workflows, professional analysis, and long-running work. It improves reliability, judgment, tool efficiency, computer use, and multimodal document reasoning over Opus 4.7 while supporting a 1,000,000-token context window.","specs":"{\"type\":\"llm\",\"context_window\":1000000,\"max_output_tokens\":128000,\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"text\"],\"reasoning_efforts\":[\"low\",\"medium\",\"high\",\"max\"],\"pricing_notes\":[\"Standard: $5 input, $25 output, $0.50 cache read, $6.25 5-minute cache write, and $10 1-hour cache write per 1M tokens.\"]}","login_required":0,"icon":"Claude.Color","tags":"Reasoning,Tools,Vision,Multimodal,1M,Files","vendor_id":20,"quota_type":0,"model_ratio":2.5,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":5,"list_input_usd":5,"selling_usd":5,"unit":"text","list_source":"https://platform.claude.com/docs/en/about-claude/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":5,"selling_usd":5,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":25,"selling_usd":25,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.5,"selling_usd":0.5,"discount_pct":0,"verdict":"at_list"},{"face":"cache_write","list_usd":6.25,"selling_usd":6.25,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_write_1h"]},"book_faces":{"standard":{"cache_read":500000,"cache_write":6250000,"cache_write_1h":10000000,"input":5000000,"output":25000000},"paid":{"cache_read":275000,"cache_write":3437500,"cache_write_1h":5500000,"input":2750000,"output":13750000},"route_count":5}},{"model_name":"gpt-6.1-sol","description":"OpenAI GPT-6.1 Sol — close to GPT-6 Astra on complex coding, computer use, and professional work, at a lower cost. It supports text and image input, a 1,050,000-token context window, and up to 128,000 output tokens. Reasoning effort ranges from low to max, with medium as the default; none and minimal are not supported, and reasoning tokens are billed as output. When the input exceeds 272,000 tokens, every token in that request is billed at the long-context rate. Use /v1/responses for tool calling; /v1/chat/completions does not support tool calls. On /v1/responses, send the whole conversation in the input array on every turn; requests that carry previous_response_id or conversation are refused.","specs":"{\"type\": \"llm\", \"context_window\": 1050000, \"max_output_tokens\": 128000, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"], \"reasoning_efforts\": [\"low\", \"medium\", \"high\", \"xhigh\", \"max\"], \"pricing_notes\": [\"Standard: $2 input, $0.10 cached input, $2.50 cache write, and $10 output per 1M tokens.\", \"Above 272K input tokens, the full request uses 2x input and cache rates and 1.5x output pricing.\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,Multimodal,1M","vendor_id":19,"quota_type":0,"model_ratio":1,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.05,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["openai","openai-response"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":100000,"cache_write":2500000,"input":2000000,"output":10000000},"paid":{"cache_read":55000,"cache_write":2500000,"input":1100000,"output":5500000},"route_count":3,"tier_count":2,"tiers":[{"tier":"long_context","standard":{"cache_read":200000,"cache_write":5000000,"input":4000000,"output":15000000},"paid":{"cache_read":110000,"cache_write":5000000,"input":2200000,"output":8250000},"when":[{"dim":"context_len","context_len_gt":272000}]},{"tier":"standard","standard":{"cache_read":100000,"cache_write":2500000,"input":2000000,"output":10000000},"paid":{"cache_read":55000,"cache_write":2500000,"input":1100000,"output":5500000}}]}},{"model_name":"hy-mt2-lite","description":"Tencent HY-MT2 Lite — latency- and cost-oriented multilingual translation tier through the OpenAI Chat Completions protocol. Up to 4K input tokens and 4K output tokens; text-only.","specs":"{\"type\": \"llm\", \"context_window\": 8192, \"max_input_tokens\": 4096, \"max_output_tokens\": 4096, \"input_modalities\": [\"text\"], \"output_modalities\": [\"text\"]}","login_required":0,"tags":"Translation,Multilingual,Text,Fast","vendor_id":17,"quota_type":0,"model_ratio":0.022,"model_price":0,"owner_by":"","completion_ratio":4.0227272727272725,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai"],"capabilities":["text-multimodal"],"tasks":["chat"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"input":44000,"output":177000},"paid":null,"route_count":1}},{"model_name":"qwen3-tts-flash","description":"Alibaba Qwen3-TTS-Flash — low-latency text-to-speech with 17 expressive built-in voices, covering Chinese, English, German, Italian, Portuguese, Spanish, Japanese, Korean, French, and Russian plus an automatic mode for mixed-language text, and dialect output. Accepts up to 512 tokens of text per request and supports both streaming and non-streaming synthesis.","login_required":0,"tags":"Audio,TTS,Multilingual,Low-latency","vendor_id":4,"quota_type":0,"model_ratio":5.5,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-speech"],"capabilities":["audio-speech"],"tasks":["text-to-speech"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"characters","default_voice":"Cherry","default_response_format":"mp3","speech_input":"voice-name","book_faces":{"standard":{"input":11000000,"output":0},"paid":null,"route_count":2}},{"model_name":"jev-latest","description":"TypeSafe Jev (latest) — the alias the TypeSafe SDKs call when no model is given. It currently serves jev-1.13, at the same price and with the same System One contract on POST /v1/systemone: state plus typed choice, score and noul questions in, typed answers with probabilities and a confidence value out. The response's model field names the version that answered. We move the alias to a new Jev release only after checking its price, so pin jev-1.13 if you have tuned thresholds against it.","specs":"{\"type\": \"decision\", \"context_window\": 32000, \"input_modalities\": [\"text\"], \"output_modalities\": [\"decisions\"]}","login_required":0,"icon":"https://dash.chinaapi.ai/providers/typesafe.png","tags":"Text,Low-latency,Low-cost","vendor_id":27,"quota_type":0,"model_ratio":0.0231,"model_price":0,"owner_by":"","completion_ratio":0,"enable_groups":["default"],"supported_endpoint_types":["system-one"],"capabilities":["decision"],"tasks":["structured-decision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"input":46200,"output":0},"paid":null,"route_count":1}},{"model_name":"MiniMax-Hailuo-2.3-Fast","description":"MiniMax Hailuo 2.3 Fast — the speed-and-cost tier of Hailuo 2.3, focused on image-to-video and on physical motion realism, at 24 fps, with 768p available as 6-second or 10-second clips and 1080p at 6 seconds. 768p 6s = $0.19.","login_required":0,"tags":"Video,Image-to-Video,Fast","vendor_id":13,"quota_type":1,"model_ratio":0,"model_price":0.19,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["image-to-video"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.19,"list_input_usd":0.19,"selling_usd":0.19,"unit":"per_call","list_source":"https://platform.minimax.io/docs/guides/pricing-paygo","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.19,"selling_usd":0.19,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"per_call":190000},"paid":null,"route_count":1}},{"model_name":"qwen3.5-omni-plus","description":"Alibaba Qwen3.5-Omni-Plus — the capable tier of the Qwen3.5 omni-modal line, understanding and conversing across text, image, audio, and audio-video. Handles more than 10 hours of audio and more than 400 seconds of 720P (1 FPS) audio-video per conversation, with audio input in 60+ languages and speech output in 30+. 65,536-token context window. Audio input and audio-bearing output are billed on their own faces, above the text rate.","specs":"{\"type\":\"llm\",\"context_window\":65536,\"input_modalities\":[\"text\",\"image\",\"audio\",\"video\"],\"output_modalities\":[\"text\",\"audio\"]}","login_required":0,"tags":"Multimodal,Audio,Vision,Multilingual","vendor_id":4,"quota_type":0,"model_ratio":0.7,"model_price":0,"owner_by":"","completion_ratio":5.928571428571429,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai"],"capabilities":["text-multimodal","audio-speech"],"tasks":["chat","vision","audio-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":1.4,"list_input_usd":1.4,"selling_usd":1.4,"unit":"text","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":1.4,"selling_usd":1.4,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":8.3,"selling_usd":8.3,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_read"]},"book_faces":{"standard":{"input":1400000,"output":8300000},"paid":null,"route_count":1}},{"model_name":"vidu-video-q3","description":"Vidu Q3 — reference-to-video model with consistent subjects, intelligent scene switching, and synchronized audio/video output. Accepts reference images or named subjects; generates 3–16 seconds at 540P, 720P, or 1080P.","specs":"{\"type\": \"video\", \"min_duration_seconds\": 3, \"max_duration_seconds\": 16, \"resolutions\": [\"540P\", \"720P\", \"1080P\"], \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"video\", \"audio\"]}","login_required":0,"tags":"Video,Reference-to-Video,Audio,Subjects","vendor_id":26,"quota_type":1,"model_ratio":0,"model_price":0.06,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["reference-to-video","video-with-audio"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_second","book_faces":{"standard":{"video_second":60000},"paid":null,"route_count":1}},{"model_name":"wan2.7-i2v","description":"Alibaba Wan 2.7 Image-to-Video — covers first-frame generation, first-and-last-frame transitions, and continuation of an existing clip. Produces 720P or 1080P (default 1080P) of 2-15 seconds, 5s default, from prompts up to 5000 characters (negative prompts up to 500 characters). A 2-30 second mp3 or wav driving_audio track can be supplied; with no audio the model generates matching background music or sound effects, audio longer than the clip is truncated, and audio shorter than it leaves the tail silent.","login_required":0,"tags":"Video,Image-to-Video,Audio,First-Last-Frame","vendor_id":4,"quota_type":1,"model_ratio":0,"model_price":0.1,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["image-to-video","first-last-frame","video-with-audio"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_second","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.1,"list_input_usd":0.1,"selling_usd":0.1,"unit":"per_second","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.1,"selling_usd":0.1,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"video_second":100000},"paid":null,"route_count":1}},{"model_name":"wan2.7-videoedit","description":"Alibaba Wan2.7 VideoEdit — natural-language video editing, local or global, reference-image element replacement, motion/effect/camera replication.","login_required":0,"tags":"Video,Video-Edit","vendor_id":4,"quota_type":1,"model_ratio":0,"model_price":0.1,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["video-editing"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_second","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.1,"list_input_usd":0.1,"selling_usd":0.1,"unit":"per_second","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.1,"selling_usd":0.1,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"video_second":100000},"paid":null,"route_count":1}},{"model_name":"gpt-5.6-terra","description":"OpenAI GPT-5.6 Terra — the balanced GPT-5.6 model for everyday professional work, offering strong intelligence and coding-agent performance at a lower cost than Sol. It supports text and image input, built-in tools, a 1,050,000-token context window, and up to 128,000 output tokens.","specs":"{\"type\":\"llm\",\"context_window\":1050000,\"max_output_tokens\":128000,\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"text\"],\"reasoning_efforts\":[\"none\",\"low\",\"medium\",\"high\",\"xhigh\",\"max\"],\"pricing_notes\":[\"Standard: $2.50 input, $0.25 cached input, and $15 output per 1M tokens.\",\"Above 272K input tokens, the full request uses 2x input and 1.5x output pricing.\"]}","login_required":0,"icon":"OpenAI","tags":"Reasoning,Tools,Vision,Multimodal,1M,Files","vendor_id":19,"quota_type":0,"model_ratio":1,"model_price":0,"owner_by":"","completion_ratio":6,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai","openai-response"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":2,"list_input_usd":2,"selling_usd":2,"unit":"text","list_source":"https://developers.openai.com/api/docs/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":2,"selling_usd":2,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":12,"selling_usd":12,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.2,"selling_usd":0.2,"discount_pct":0,"verdict":"at_list"},{"face":"cache_write","list_usd":2.5,"selling_usd":2.5,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_write_1h"]},"book_faces":{"standard":{"cache_read":200000,"cache_write":2500000,"cache_write_1h":2000000,"input":2000000,"output":12000000},"paid":{"cache_read":160000,"cache_write":2000000,"cache_write_1h":2000000,"input":1600000,"output":9600000},"route_count":3,"tier_count":2,"tiers":[{"tier":"long_context","standard":{"cache_read":400000,"cache_write":5000000,"cache_write_1h":4000000,"input":4000000,"output":18000000},"paid":{"cache_read":320000,"cache_write":4000000,"cache_write_1h":4000000,"input":3200000,"output":14400000},"when":[{"dim":"context_len","context_len_gt":272000}]},{"tier":"standard","standard":{"cache_read":200000,"cache_write":2500000,"cache_write_1h":2000000,"input":2000000,"output":12000000},"paid":{"cache_read":160000,"cache_write":2000000,"cache_write_1h":2000000,"input":1600000,"output":9600000}}]}},{"model_name":"glm-5.3-flashx","description":"Zhipu GLM-5.3-FlashX — the faster GLM-5.3-Flash variant. A 1M-token context window and up to 128K output tokens; text and image input, text output. Supports reasoning, streaming and function calling through Chat Completions. Reasoning cannot be disabled. Video and file inputs, native Messages and long-context limits have not been qualified on this route.","specs":"{\"type\": \"llm\", \"context_window\": 1000000, \"max_output_tokens\": 128000, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,1M","vendor_id":2,"quota_type":0,"model_ratio":0.185,"model_price":0,"owner_by":"","completion_ratio":3.3783783783783785,"cache_ratio":0.20270270270270271,"enable_groups":["default"],"supported_endpoint_types":["openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.37,"list_input_usd":0.37,"selling_usd":0.37,"unit":"text","list_source":"https://docs.z.ai/guides/overview/pricing","verified_at":"2026-11-02","faces":[{"face":"input","list_usd":0.37,"selling_usd":0.37,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":1.25,"selling_usd":1.25,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.075,"selling_usd":0.075,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":75000,"input":370000,"output":1250000},"paid":null,"route_count":1}},{"model_name":"kimi-k3","description":"Moonshot Kimi K3 — 2.8-trillion-parameter flagship for long-horizon coding, end-to-end knowledge work, and deep reasoning, with a 1M-token context window and up to 1,048,576 completion tokens (131,072 by default). Accepts text, base64-encoded images, and base64-encoded video and returns text. Thinking is always on, with reasoning effort at max by default; temperature is fixed at 1.0. Supports custom tool calling and dynamic tool loading.","specs":"{\"type\": \"llm\", \"context_window\": 1000000, \"max_output_tokens\": 131072, \"input_modalities\": [\"text\", \"image\", \"video\"], \"output_modalities\": [\"text\"], \"reasoning_efforts\": [\"low\", \"high\", \"max\"]}","login_required":0,"tags":"Reasoning,Tools,Files,Open Weights,Vision,Video,1M","vendor_id":3,"quota_type":0,"model_ratio":1.5,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":3,"list_input_usd":3,"selling_usd":3,"unit":"text","list_source":"https://platform.kimi.ai/docs/pricing/chat","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":3,"selling_usd":3,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":15,"selling_usd":15,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.3,"selling_usd":0.30000000000000004,"discount_pct":-0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":300000,"input":3000000,"output":15000000},"paid":{"cache_read":210000,"input":2100000,"output":10500000},"route_count":3}},{"model_name":"kling-v3","description":"Kuaishou Kling 3.0 — text-to-video and image-to-video with native audio and improved element consistency. Clips run 3-15 seconds (5 by default) in 16:9, 9:16, or 1:1, with the tier chosen through mode: std for 720P, pro for 1080P, and 4k for native 4K. Audio is opt-in through sound=on and defaults to off; image-to-video takes a first frame with an optional tail frame. From $0.083/s (720p).","login_required":0,"tags":"Video,Text-to-Video,Image-to-Video,Audio,4K,First-Last-Frame","vendor_id":6,"quota_type":1,"model_ratio":0,"model_price":0.42,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video","image-to-video","first-last-frame","video-with-audio"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","book_faces":{"standard":{"per_call":420000},"paid":null,"route_count":1}},{"model_name":"agnes-image-2.0-flash","description":"Agnes AI Image 2.0 Flash — a fast image generation and editing model for text-to-image, image-to-image, and multi-image composition, with generated results available as URLs or Base64 data.","specs":"{\"type\":\"image\",\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"image\"]}","login_required":0,"icon":"https://dash.chinaapi.ai/providers/agnes.png","tags":"Image,Editing,Fast","vendor_id":25,"quota_type":1,"model_ratio":0,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image","image-editing"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","book_faces":{"standard":{"per_call":0},"paid":null,"route_count":1}},{"model_name":"gemini-3.1-flash-image","description":"Google Gemini 3.1 Flash Image (Nano Banana 2) — a stable, low-latency model for high-quality image generation and conversational editing. It accepts text, images, and PDFs, supports thinking and search grounding, and can generate 0.5K, 1K, 2K, or 4K images for high-volume production workflows.","specs":"{\"type\":\"image\",\"context_window\":131072,\"max_output_tokens\":32768,\"input_modalities\":[\"text\",\"image\",\"pdf\"],\"output_modalities\":[\"text\",\"image\"],\"request_protocol\":\"OpenAI Chat Completions\",\"image_response_path\":\"choices[0].message.content (Markdown data:image URL)\",\"reasoning_efforts\":[\"minimal\",\"high\"],\"resolutions\":[\"0.5K\",\"1K\",\"2K\",\"4K\"],\"health_probe\":{\"endpoint_type\":\"openai\",\"prompt\":\"Generate a simple blue circle centered on a white background.\"},\"pricing_notes\":[\"Standard: $0.50 input, $3.00 text/thinking output, and $60.00 image output per 1M tokens.\",\"Per image: $0.045 at 0.5K, $0.067 at 1K, $0.101 at 2K, and $0.151 at 4K.\",\"Call POST /v1/chat/completions and read the Markdown data:image asset from choices[0].message.content.\"]}","login_required":0,"icon":"Gemini.Color","tags":"Image,Editing,Fast,4K","vendor_id":21,"quota_type":0,"model_ratio":0.25,"model_price":0,"owner_by":"","completion_ratio":6,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai","gemini"],"capabilities":["text-multimodal","image"],"tasks":["chat","text-to-image","image-editing","high-resolution"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.5,"list_input_usd":0.5,"selling_usd":0.5,"unit":"text","list_source":"https://ai.google.dev/gemini-api/docs/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.5,"selling_usd":0.5,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":3,"selling_usd":3,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_read","image_output"]},"book_faces":{"standard":{"image_output":60000000,"input":500000,"output":3000000},"paid":{"image_output":42000000,"input":350000,"output":2100000},"route_count":1}},{"model_name":"gemini-3.1-flash-lite","description":"Google Gemini 3.1 Flash-Lite — a low-latency, cost-efficient multimodal model for high-frequency lightweight tasks, high-volume agentic workflows, translation, and structured data extraction. It accepts text, images, video, audio, and PDFs, supports thinking and tool use, and provides a 1,048,576-token input context with up to 65,536 output tokens.","specs":"{\"type\":\"llm\",\"context_window\":1048576,\"max_output_tokens\":65536,\"input_modalities\":[\"text\",\"image\",\"video\",\"audio\",\"pdf\"],\"output_modalities\":[\"text\"],\"reasoning_efforts\":[\"minimal\",\"low\",\"medium\",\"high\"],\"pricing_notes\":[\"Standard: $0.25 text/image/video input, $0.50 audio input, $0.025 cached input, and $1.50 output per 1M tokens.\"]}","login_required":0,"icon":"Gemini.Color","tags":"Reasoning,Tools,Vision,Multimodal,1M,Fast,Low-cost,Files,Multilingual","vendor_id":21,"quota_type":0,"model_ratio":0.125,"model_price":0,"owner_by":"","completion_ratio":6,"cache_ratio":0.1,"audio_ratio":2,"enable_groups":["default"],"supported_endpoint_types":["openai","gemini","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.25,"list_input_usd":0.25,"selling_usd":0.25,"unit":"text","list_source":"https://ai.google.dev/gemini-api/docs/pricing#gemini-3.1-flash-lite","verified_at":"2026-10-22","faces":[{"face":"input","list_usd":0.25,"selling_usd":0.25,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":1.5,"selling_usd":1.5,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.025,"selling_usd":0.025,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["audio_input"]},"book_faces":{"standard":{"audio_input":500000,"cache_read":25000,"input":250000,"output":1500000},"paid":{"audio_input":275000,"cache_read":13750,"input":137500,"output":825000},"route_count":2}},{"model_name":"gpt-6-sol","description":"OpenAI GPT-6 Sol — built for complex coding and agentic workflows. It supports text and image input, a 1,050,000-token context window, up to 128,000 output tokens, and reasoning effort from none to max, with medium as the default. Use /v1/responses for tool calling: on /v1/chat/completions, function calling works only with reasoning_effort set to none. On /v1/responses, send the whole conversation in the input array on every turn; requests that carry previous_response_id or conversation are refused.","specs":"{\"type\": \"llm\", \"context_window\": 1050000, \"max_output_tokens\": 128000, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"], \"reasoning_efforts\": [\"none\", \"low\", \"medium\", \"high\", \"xhigh\", \"max\"], \"pricing_notes\": [\"Standard: $2 input, $0.20 cached input, $2.50 cache write, and $10 output per 1M tokens.\", \"Above 272K input tokens, the full request uses 2x input and cache rates and 1.5x output pricing.\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,Multimodal,1M,Files","vendor_id":19,"quota_type":0,"model_ratio":1,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["openai","openai-response"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":2,"list_input_usd":2,"selling_usd":2,"unit":"text","list_source":"https://developers.openai.com/api/docs/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":2,"selling_usd":2,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":10,"selling_usd":10,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.2,"selling_usd":0.2,"discount_pct":0,"verdict":"at_list"},{"face":"cache_write","list_usd":2.5,"selling_usd":2.5,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":200000,"cache_write":2500000,"input":2000000,"output":10000000},"paid":{"cache_read":110000,"cache_write":2500000,"input":1100000,"output":5500000},"route_count":3,"tier_count":2,"tiers":[{"tier":"long_context","standard":{"cache_read":400000,"cache_write":5000000,"input":4000000,"output":15000000},"paid":{"cache_read":220000,"cache_write":5000000,"input":2200000,"output":8250000},"when":[{"dim":"context_len","context_len_gt":272000}]},{"tier":"standard","standard":{"cache_read":200000,"cache_write":2500000,"input":2000000,"output":10000000},"paid":{"cache_read":110000,"cache_write":2500000,"input":1100000,"output":5500000}}]}},{"model_name":"kimi-k2.7-code-highspeed","description":"Moonshot Kimi K2.7 Code Highspeed — the throughput tier of K2.7 Code, serving the same model at roughly 180 tokens per second and up to 260 in short-context work. 256K context window, 32,768 default output tokens. Accepts text, images, and video as base64 content and returns text. Thinking is mandatory and returns an error if disabled; tool_choice is limited to auto or none and reasoning_content must be carried across multi-step tool calls.","specs":"{\"type\":\"llm\",\"context_window\":256000,\"max_output_tokens\":32768,\"input_modalities\":[\"text\",\"image\",\"video\"],\"output_modalities\":[\"text\"]}","login_required":0,"icon":"Moonshot.Color","tags":"Reasoning,Tools,Files,Open Weights,Vision,Video,256K","vendor_id":3,"quota_type":0,"model_ratio":0.95,"model_price":0,"owner_by":"","completion_ratio":4.2105263157894735,"cache_ratio":0.2,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":1.9,"list_input_usd":1.9,"selling_usd":1.9,"unit":"text","list_source":"https://platform.kimi.ai/docs/pricing/chat","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":1.9,"selling_usd":1.9,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":8,"selling_usd":7.999999999999999,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.38,"selling_usd":0.38,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":380000,"input":1900000,"output":8000000},"paid":null,"route_count":1}},{"model_name":"step-audio-2","description":"StepFun step-audio-2 — end-to-end speech model that consumes audio directly rather than working from a transcript, so tone and delivery survive into the model's understanding. Billed per token, sharing the input rate of the StepAudio 2.5 line at a higher output rate. StepFun publishes no separate capability page for this model; consult the platform audio documentation for the current parameter set.","login_required":0,"tags":"Audio","vendor_id":18,"quota_type":0,"model_ratio":0.7407405,"model_price":0,"owner_by":"","completion_ratio":7,"cache_ratio":0.19999986499995612,"enable_groups":["default"],"supported_endpoint_types":["openai"],"capabilities":["text-multimodal","audio-speech"],"tasks":["chat","audio-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":296296,"input":1481481,"output":10370367},"paid":null,"route_count":1}},{"model_name":"glm-5.1","description":"Zhipu GLM-5.1 — flagship foundation model built for extended autonomous work: the vendor documents continuous unattended execution on a single task for up to 8 hours across planning, execution, testing, and iterative optimization. 200K context window, up to 128K output tokens, text in and text out. Supports multiple thinking modes, function calling, structured JSON output, streaming, context caching, and MCP tool integration.","specs":"{\"type\":\"llm\",\"context_window\":200000,\"max_output_tokens\":128000,\"input_modalities\":[\"text\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,200K","vendor_id":2,"quota_type":0,"model_ratio":0.7,"model_price":0,"owner_by":"","completion_ratio":3.142857142857143,"cache_ratio":0.18571428571428572,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":1.4,"list_input_usd":1.4,"selling_usd":1.4,"unit":"text","list_source":"https://docs.z.ai/guides/overview/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":1.4,"selling_usd":1.4,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":4.4,"selling_usd":4.3999999999999995,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.26,"selling_usd":0.26,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":260000,"input":1400000,"output":4400000},"paid":{"cache_read":182000,"input":980000,"output":3080000},"route_count":1}},{"model_name":"gemini-3.5-flash","description":"Google Gemini 3.5 Flash — a stable multimodal model optimized for sustained agentic performance, rapid coding loops, sub-agent deployment, and long-running multi-step workflows. It accepts text, images, video, audio, and PDFs, supports thinking and built-in tools, and provides a 1,048,576-token input context with up to 65,536 output tokens.","specs":"{\"type\":\"llm\",\"context_window\":1048576,\"max_output_tokens\":65536,\"input_modalities\":[\"text\",\"image\",\"video\",\"audio\",\"pdf\"],\"output_modalities\":[\"text\"],\"reasoning_efforts\":[\"minimal\",\"low\",\"medium\",\"high\"],\"pricing_notes\":[\"Standard: $1.50 input, $3.00 audio input, $0.15 cached input, and $9.00 output per 1M tokens.\"]}","login_required":0,"icon":"Gemini.Color","tags":"Reasoning,Tools,Vision,Multimodal,1M,Fast,Files","vendor_id":21,"quota_type":0,"model_ratio":0.75,"model_price":0,"owner_by":"","completion_ratio":6,"cache_ratio":0.1,"audio_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai","gemini","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"audio_input":1500000,"cache_read":150000,"input":1500000,"output":9000000},"paid":{"audio_input":1500000,"cache_read":105000,"input":1050000,"output":6300000},"route_count":3},"route_health":{"window_hours":24,"sample_size":48,"success_ratio":0.08333333333333333,"last_checked_at":1794488005}},{"model_name":"gemini-4-argon","description":"Google Gemini 4 Argon — text reasoning for coding and agents, with streaming and function calling. Select low, medium or high thinking; complex reasoning benefits from high. Thinking shares the output token budget. Introductory token prices apply through November 30, 2026. Explicit context caches are not supported.","specs":"{\"type\": \"llm\", \"input_modalities\": [\"text\"], \"output_modalities\": [\"text\"], \"reasoning_efforts\": [\"low\", \"medium\", \"high\"], \"pricing_notes\": [\"Introductory input/output/cache-read prices are $2/$10/$0.10 per million tokens through 2026-11-30; regular prices are $4/$20/$0.20. Recheck before the recorded promotion deadline.\", \"High thinking is recommended for difficult reasoning. Low produced incorrect answers in a small supplier-route sample.\", \"Two APIKEY carriers have separate costs. Streaming/function calling are verified; other modalities and the documented 1M context limit have not been certified on these carriers.\"]}","login_required":0,"tags":"Reasoning,Tools,Streaming","vendor_id":21,"quota_type":0,"model_ratio":1,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.05,"enable_groups":["default"],"supported_endpoint_types":["openai","gemini"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":2,"list_input_usd":2,"selling_usd":2,"unit":"text","list_source":"https://ai.google.dev/gemini-api/docs/latest-model","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":2,"selling_usd":2,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":10,"selling_usd":10,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.1,"selling_usd":0.1,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":100000,"input":2000000,"output":10000000},"paid":{"cache_read":55000,"input":1100000,"output":5500000},"route_count":2}},{"model_name":"grok-4.6","description":"Grok 4.6, supplied through a single reseller route. Supports text and image input, streaming, and function tools in Chat Completions and Responses. Reasoning is billed as output; output limits apply to visible text. The supplier adds a billable input prefix. On Responses, send the full conversation and preserve encrypted reasoning items; previous_response_id, conversation references and server-side tools are not supported. Published context limit: 500K tokens; the full limit is not independently qualified. When total input is \u003e= 200,000 tokens, input/cache-read/output rates for the entire request, not only the excess, are 2 times the short-context rates: USD 4 / 1 / 12 per million tokens.","specs":"{\"type\": \"llm\", \"context_window\": 500000, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Vision","vendor_id":28,"quota_type":0,"model_ratio":1,"model_price":0,"owner_by":"","completion_ratio":3,"cache_ratio":0.25,"enable_groups":["default"],"supported_endpoint_types":["openai","openai-response"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":2,"list_input_usd":2,"selling_usd":2,"unit":"text","list_source":"https://docs.x.ai/developers/pricing","verified_at":"2026-11-02","faces":[{"face":"input","list_usd":2,"selling_usd":2,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":6,"selling_usd":6,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.5,"selling_usd":0.5,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":500000,"input":2000000,"output":6000000},"paid":null,"route_count":1,"tier_count":2,"tiers":[{"tier":"long_context","standard":{"cache_read":1000000,"input":4000000,"output":12000000},"paid":null,"when":[{"dim":"context_len","context_len_gt":199999}]},{"tier":"standard","standard":{"cache_read":500000,"input":2000000,"output":6000000},"paid":null}]}},{"model_name":"happyhorse-1.1-r2v","description":"Alibaba HappyHorse 1.1 (R2V) — reference-to-video with up to 9 reference images, strong subject/scene/style consistency and camera control. 720P/1080P.","login_required":0,"tags":"Video,Reference-to-Video","vendor_id":4,"quota_type":1,"model_ratio":0,"model_price":0.14,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["reference-to-video"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_second","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.14,"list_input_usd":0.14,"selling_usd":0.14,"unit":"per_second","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.14,"selling_usd":0.14,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"video_second":140000},"paid":null,"route_count":1}},{"model_name":"mimo-v2.5-tts-voicedesign","description":"Xiaomi MiMo v2.5 TTS VoiceDesign — voice design model: describe the desired voice in natural language in the instructions field and it synthesises speech in that designed voice.","login_required":0,"tags":"Audio,TTS,VoiceDesign","vendor_id":16,"quota_type":0,"model_ratio":0,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-speech"],"capabilities":["audio-speech"],"tasks":["text-to-speech","voice-design"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"characters","default_response_format":"wav","speech_input":"voice-design","book_faces":{"standard":{"input":0,"output":0},"paid":null,"route_count":1}},{"model_name":"qwen-audio-3.1-asr-flash","description":"Alibaba Qwen-Audio-3.1-ASR-Flash transcribes short audio into text across multiple languages and Chinese dialects. The synchronous transcription endpoint returns a text transcript. Billing uses supplier-reported audio input tokens and text output tokens, rather than audio duration.","specs":"{\"type\": \"audio\", \"input_modalities\": [\"audio\"], \"output_modalities\": [\"text\"]}","login_required":0,"tags":"Audio,ASR,Multilingual,Dialects","vendor_id":4,"quota_type":0,"model_ratio":0.075,"model_price":0,"owner_by":"","completion_ratio":3.1333333333333333,"audio_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["audio-transcription"],"capabilities":["audio-speech"],"tasks":["transcription"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.15,"list_input_usd":0.15,"selling_usd":0.15,"unit":"text","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-11-10","faces":[{"face":"input","list_usd":0.15,"selling_usd":0.15,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":0.47,"selling_usd":0.47,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["audio_input"]},"book_faces":{"standard":{"audio_input":150000,"input":150000,"output":470000},"paid":null,"route_count":1}},{"model_name":"qwen3.8-2.4t-a95b","description":"Alibaba Qwen3.8-2.4T-A95B — the open-weight release of the Qwen3.8 flagship, a sparse MoE model with 2.4 trillion total parameters and roughly 95 billion active per step, using a hybrid attention design. 1,000,000-token context window. Accepts text input and returns text; thinking and non-thinking modes are billed at the same rate and the output price includes the chain of thought.","specs":"{\"type\":\"llm\",\"context_window\":1000000,\"input_modalities\":[\"text\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Open Weights,1M","vendor_id":4,"quota_type":0,"model_ratio":1,"model_price":0,"owner_by":"","completion_ratio":3,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":2,"list_input_usd":2,"selling_usd":2,"unit":"text","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":2,"selling_usd":2,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":6,"selling_usd":6,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_read"]},"book_faces":{"standard":{"input":2000000,"output":6000000},"paid":null,"route_count":1}},{"model_name":"claude-sonnet-4-6","description":"Anthropic Claude Sonnet 4.6 — the balanced Sonnet generation, offering a 1,000,000-token context window at standard pricing with up to 128,000 output tokens. It supports text and image input and adaptive thinking, and uses the pre-4.7 tokenizer, so the same text yields roughly 30% fewer tokens than on 4.7-and-later models at the same per-token rate.","specs":"{\"type\": \"llm\", \"context_window\": 1000000, \"max_output_tokens\": 128000, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"], \"reasoning_efforts\": [\"none\", \"low\", \"medium\", \"high\"], \"pricing_notes\": [\"Standard: $3 input, $0.30 cache hit, $3.75 5-minute cache write, and $15 output per 1M tokens.\"]}","login_required":0,"icon":"Claude.Color","tags":"Reasoning,Tools,Vision,Multimodal,1M","vendor_id":20,"quota_type":0,"model_ratio":1.5,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":3,"list_input_usd":3,"selling_usd":3,"unit":"text","list_source":"https://platform.claude.com/docs/en/about-claude/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":3,"selling_usd":3,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":15,"selling_usd":15,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.3,"selling_usd":0.30000000000000004,"discount_pct":-0,"verdict":"at_list"},{"face":"cache_write","list_usd":3.75,"selling_usd":3.75,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_write_1h"]},"book_faces":{"standard":{"cache_read":300000,"cache_write":3750000,"cache_write_1h":6000000,"input":3000000,"output":15000000},"paid":{"cache_read":165000,"cache_write":2062500,"cache_write_1h":3300000,"input":1650000,"output":8250000},"route_count":3}},{"model_name":"doubao-seedream-4-5-251128","description":"ByteDance Doubao Seedream 4.5 — text-to-image and image-to-image with multi-image fusion, producing either a single image or a set of related images. Single-image mode takes a prompt alone, one reference image, or 2-14 reference images; group mode (sequential_image_generation=auto) returns up to 15 images from text, up to 14 from a single reference image, or a set from 2-14 references where inputs plus outputs stay at or below 15. Supports 2K and 4K output and returns JPEG by default, as a URL or base64. Interactive coordinate-based editing is available only in Seedream 5.0 Pro (doubao-seedream-5-0-pro-260628).","login_required":0,"tags":"Image,4K","vendor_id":5,"quota_type":1,"model_ratio":0,"model_price":0.037037,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image","high-resolution"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","book_faces":{"standard":{"per_call":37037},"paid":null,"route_count":1}},{"model_name":"glm-image","description":"Zhipu GLM-Image — image generation built on a hybrid autoregressive-understanding plus diffusion-decoding architecture, the first SOTA multimodal model trained end-to-end on Chinese-made chips (Huawei Ascend). Reads instructions rather than keywords and fills in detail the prompt leaves implicit, with markedly stronger text rendering (Chinese characters in particular) and knowledge-intensive scenes. One image per request.","login_required":0,"tags":"Image,Text Rendering","vendor_id":2,"quota_type":1,"model_ratio":0,"model_price":0.015,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["image-generation","openai"],"capabilities":["image"],"tasks":["text-to-image"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.015,"list_input_usd":0.015,"selling_usd":0.015,"unit":"per_call","list_source":"https://docs.z.ai/guides/overview/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.015,"selling_usd":0.015,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"per_call":15000},"paid":{"per_call":14250},"route_count":1}},{"model_name":"MiniMax-M2.7","description":"MiniMax M2.7 — text model for chat, coding, office work, and agentic tasks, with a 204,800-token context window and output at roughly 60 tokens per second. Text only: the API accepts text and tool-call content blocks, not images or video. Supports tool calling; thinking is always on and cannot be disabled.","specs":"{\"type\":\"llm\",\"context_window\":204800,\"input_modalities\":[\"text\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Open Weights,200K","vendor_id":13,"quota_type":0,"model_ratio":0.15,"model_price":0,"owner_by":"","completion_ratio":4,"cache_ratio":0.2,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":60000,"cache_write":375000,"input":300000,"output":1200000},"paid":{"cache_read":39000,"cache_write":243750,"input":195000,"output":780000},"route_count":2}},{"model_name":"MiniMax-M3.1-Flash","description":"MiniMax M3.1 Flash — a reasoning model for coding and agent workflows, with a documented 1M-token context window. Supports streaming and function calling. Adaptive thinking is always enabled; effort can be low, medium, high, xhigh or max (default max).","specs":"{\"type\": \"llm\", \"input_modalities\": [\"text\"], \"output_modalities\": [\"text\"], \"reasoning_efforts\": [\"low\", \"medium\", \"high\", \"xhigh\", \"max\"], \"pricing_notes\": [\"Output prices include thinking tokens. Use a sufficient output budget; a small budget can be exhausted before visible text.\", \"This APIKEY route has verified text, streaming and automatic function calling; vision and long-context limits have not been certified on this route.\"]}","login_required":0,"tags":"Reasoning,Tools,Streaming","vendor_id":13,"quota_type":0,"model_ratio":0.075,"model_price":0,"owner_by":"","completion_ratio":4,"cache_ratio":0.1,"enable_groups":["default"],"supported_endpoint_types":["openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.15,"list_input_usd":0.15,"selling_usd":0.15,"unit":"text","list_source":"https://platform.minimax.io/docs/pricing/overview","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.15,"selling_usd":0.15,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":0.6,"selling_usd":0.6,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.015,"selling_usd":0.015,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":15000,"input":150000,"output":600000},"paid":{"cache_read":9750,"input":97500,"output":390000},"route_count":1}},{"model_name":"qwen-audio-3.0-asr-flash","description":"Alibaba Qwen-Audio-3.0-ASR-Flash — non-realtime speech recognition on the Qwen-Audio 3.0 foundation, covering 30 languages and the seven major Chinese dialect groups (Mandarin, Wu, Xiang, Gan, Hakka, Min, Yue) plus 20+ regional accents. Punctuation prediction and text normalisation turn numbers, dates, and amounts into standard form; hot words and prompt context raise accuracy on domain vocabulary. Accepts audio up to 5 minutes or 2 GB per request.","login_required":0,"tags":"Audio,ASR,Multilingual,Dialects","vendor_id":4,"quota_type":0,"model_ratio":1.05,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-transcription"],"capabilities":["audio-speech"],"tasks":["transcription"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"audio_duration","book_faces":{"standard":{"input":2100000,"output":0},"paid":null,"route_count":1}},{"model_name":"qwen-image-2.1-pro","description":"Alibaba Qwen-Image-2.1-Pro generates and edits images from text and image references. The 7B visual component supports transparent images, subject extraction and up to ten reference images for product, portrait and layout work.","specs":"{\"type\": \"image\", \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"image\"]}","login_required":0,"tags":"Image,Editing","vendor_id":4,"quota_type":1,"model_ratio":0,"model_price":0.04,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image","image-editing"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.04,"list_input_usd":0.04,"selling_usd":0.04,"unit":"per_call","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-11-10","faces":[{"face":"input","list_usd":0.04,"selling_usd":0.04,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"per_call":40000},"paid":null,"route_count":1}},{"model_name":"qwen3.8-max-0902","description":"Alibaba Qwen3.8-Max-0902 — the 2026-09-02 snapshot of Qwen3.8-Max (vendor alias qwen3.8-max-2026-09-02), the 2.4-trillion-parameter MoE flagship, frozen so integrations can pin this exact build; the vendor cites deeper coding for complex engineering projects and long-horizon autonomous development. 1,000,000-token context window, up to 131,072 output tokens; accepts text, image, and video input and returns text; supports thinking mode, tool calling, and structured output. The dynamic qwen3.8-max name moves to newer builds as the vendor releases them — pin this name to stay on this one. Priced identically to qwen3.8-max.","specs":"{\"type\": \"llm\", \"context_window\": 1000000, \"max_output_tokens\": 131072, \"input_modalities\": [\"text\", \"image\", \"video\"], \"output_modalities\": [\"text\"]}","login_required":0,"tags":"Reasoning,Tools,1M","vendor_id":4,"quota_type":0,"model_ratio":1,"model_price":0,"owner_by":"","completion_ratio":3,"cache_ratio":0.125,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":250000,"cache_write":2500000,"input":2000000,"output":6000000},"paid":null,"route_count":1}},{"model_name":"agnes-image-2.5-flash","description":"Agnes AI Image 2.5 Flash — the latest-generation image model, ahead of Image 2.1 Flash on generation, editing, composition, detail rendering and prompt adherence, for text-to-image, image-to-image, and multi-image composition across flexible 1K–4K sizes and aspect ratios.","specs":"{\"type\": \"image\", \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"image\"]}","login_required":0,"icon":"https://dash.chinaapi.ai/providers/agnes.png","tags":"Image,Editing,High-definition","vendor_id":25,"quota_type":1,"model_ratio":0,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image","image-editing"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","book_faces":{"standard":{"per_call":0},"paid":null,"route_count":1}},{"model_name":"gemini-3.1-flash-lite-image","description":"Google Gemini 3.1 Flash-Lite Image (Nano Banana 2 Lite) — an ultra-low-latency, cost-efficient model for high-volume image generation and fast multi-turn edits. It accepts text and images, produces 1K images, supports thinking and conversational editing, and is designed for interactive developer and consumer applications.","specs":"{\"type\":\"image\",\"context_window\":65536,\"max_output_tokens\":4096,\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"text\",\"image\"],\"request_protocol\":\"OpenAI Chat Completions\",\"image_response_path\":\"choices[0].message.content (Markdown data:image URL)\",\"reasoning_efforts\":[\"minimal\",\"high\"],\"resolutions\":[\"1024px (1K)\"],\"health_probe\":{\"endpoint_type\":\"openai\",\"prompt\":\"Generate a simple blue circle centered on a white background.\"},\"pricing_notes\":[\"Standard: $0.25 input, $1.50 text/thinking output, and $30.00 image output per 1M tokens.\",\"A 1K image is approximately $0.0336.\",\"Call POST /v1/chat/completions and read the Markdown data:image asset from choices[0].message.content.\"]}","login_required":0,"icon":"Gemini.Color","tags":"Image,Editing,Fast,Low-cost","vendor_id":21,"quota_type":0,"model_ratio":0.125,"model_price":0,"owner_by":"","completion_ratio":6,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai","gemini"],"capabilities":["text-multimodal","image"],"tasks":["chat","text-to-image","image-editing"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.25,"list_input_usd":0.25,"selling_usd":0.25,"unit":"text","list_source":"https://ai.google.dev/gemini-api/docs/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.25,"selling_usd":0.25,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":1.5,"selling_usd":1.5,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_read","image_output"]},"book_faces":{"standard":{"image_output":30000000,"input":250000,"output":1500000},"paid":{"image_output":21000000,"input":175000,"output":1050000},"route_count":1}},{"model_name":"kling-3.0-turbo","description":"Kuaishou Kling 3.0 Turbo — the value tier of the Kling 3.0 line, generating 720P or 1080P (720P default) at 3-15 seconds (5 by default) in 16:9, 9:16, or 1:1, from a prompt or a first-frame image. Native audio is always included and has no on/off switch. Against kling-v3 it drops the 4K tier, tail-frame control, and video input in exchange for speed and cost. 720p 5s with audio ≈ $0.56.","login_required":0,"tags":"Video,Text-to-Video,Image-to-Video,Audio,Fast","vendor_id":6,"quota_type":1,"model_ratio":0,"model_price":0.56,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video","image-to-video","video-with-audio"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","book_faces":{"standard":{"per_call":560000},"paid":null,"route_count":1}},{"model_name":"MiniMax-M2.7-highspeed","description":"MiniMax M2.7 Highspeed — the same M2.7 model served at roughly 100 tokens per second for low-latency coding and agent workflows, with a 204,800-token context window. Text only: the API accepts text and tool-call content blocks, not images or video. Supports tool calling; thinking is always on and cannot be disabled.","specs":"{\"type\":\"llm\",\"context_window\":204800,\"input_modalities\":[\"text\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Open Weights,200K","vendor_id":13,"quota_type":0,"model_ratio":0.3,"model_price":0,"owner_by":"","completion_ratio":4,"cache_ratio":0.1,"create_cache_ratio":0.625,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":60000,"cache_write":375000,"input":600000,"output":2400000},"paid":null,"route_count":1}},{"model_name":"qwen-audio-3.0-realtime-flash","description":"Alibaba Qwen-Audio-3.0-Realtime-Flash — full-duplex speech-to-speech conversation over a WebSocket session, from the line the vendor reports as first overall in the Artificial Analysis Speech-to-Speech ranking. The flash tier is tuned for the lowest end-to-end response latency. Reached over GET /v1/realtime. Audio input and audio output are billed on their own faces, well above the text rate.","specs":"{\"type\":\"llm\",\"input_modalities\":[\"text\",\"audio\"],\"output_modalities\":[\"text\",\"audio\"]}","login_required":0,"tags":"Realtime,Audio,Voice,Multilingual,Fast","vendor_id":4,"quota_type":0,"model_ratio":0.145,"model_price":0,"owner_by":"","completion_ratio":3.0344827586206895,"cache_ratio":1,"audio_ratio":3.9655172413793105,"audio_completion_ratio":8.10344827586207,"enable_groups":["default"],"supported_endpoint_types":["realtime"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"audio_input":1150000,"audio_output":2350000,"input":290000,"output":880000},"paid":null,"route_count":2}},{"model_name":"claude-sonnet-5-5","description":"Anthropic Claude Sonnet 5.5 — balances speed and intelligence for coding, agents, and production workloads. It accepts text and image input, has a 1,000,000-token context window, and supports up to 128,000 output tokens. Adaptive thinking is on by default and thinking tokens are billed as output; output_config.effort selects low, medium, high, xhigh, or max, with high as the default. To turn off up-front thinking, send thinking with type between_tools, which works at high effort or below; type disabled is rejected. Setting temperature, top_p, or top_k to a non-default value returns an error, as does forcing a tool call with tool_choice any or tool. Thinking blocks are tied to the model and the conversation; pass them back unchanged on later turns.","specs":"{\"type\": \"llm\", \"context_window\": 1000000, \"max_output_tokens\": 128000, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"], \"reasoning_efforts\": [\"low\", \"medium\", \"high\", \"xhigh\", \"max\"], \"pricing_notes\": [\"Standard: $2 input, $10 output, $0.20 cache read, $2.50 5-minute cache write, and $4 1-hour cache write per 1M tokens.\", \"Adaptive thinking is on by default with high as the default effort; the full low-to-max effort ladder is supported, and thinking type between_tools turns off up-front thinking at high effort or below.\", \"Forced tool use is not supported: tool_choice any or a named tool returns a 400; auto and none work.\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,Multimodal,1M,Fast","vendor_id":20,"quota_type":0,"model_ratio":1,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":200000,"cache_write":2500000,"cache_write_1h":4000000,"input":2000000,"output":10000000},"paid":{"cache_read":110000,"cache_write":1375000,"cache_write_1h":2200000,"input":1100000,"output":5500000},"route_count":5}},{"model_name":"doubao-seedance-2-0-260128","description":"ByteDance Seedance 2.0 — the flagship of the Seedance 2.0 line and its only member that reaches 1080p and 4K (10-bit depth) on top of 480p and 720p, at 24 fps and 4-15 seconds. Covers text-to-video, first-frame and first-and-last-frame image-to-video, multimodal reference generation from 1-9 images and up to 3 reference videos totalling 15 seconds, video editing, video extension, sound-on generation, and a web-search tool; an audio reference has to accompany an image or video. Returns MP4 in 21:9, 16:9, 4:3, 1:1, 3:4, or 9:16, with the closing frame available as an image. Billed by output resolution.","login_required":0,"tags":"Video,Text-to-Video,Image-to-Video,Reference-to-Video,Audio,4K,First-Last-Frame","vendor_id":5,"quota_type":0,"model_ratio":3.5,"model_price":0,"owner_by":"","completion_ratio":0,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video","image-to-video","first-last-frame","reference-to-video","video-with-audio"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"input":7000000,"output":0},"paid":null,"route_count":1}},{"model_name":"doubao-seedream-5-0-pro-260628","description":"ByteDance Doubao Seedream 5.0 Pro — the vendor's top image model for controllable creation: text-to-image, single-reference and multi-reference image-to-image (2-10 reference images), interactive editing by coordinates, boxes, or arrows, and layer decomposition that splits one image into a base plus up to 16 layers, each returned with its own size, z_index, and bounding box (set layer_decomposition=true). Single-image output only: no group (sequential) generation, web search, or streaming. Billed per output image by scene and pixel tier: single image at or under 2.61 MP is the base price; above 2.61 MP costs 2x; in layer decomposition every returned layer is billed separately at 0.5x (or 1x above 2.61 MP); reference images beyond the first add 1/15 of the base price each.","specs":"{\"type\": \"image\", \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"image\"], \"max_reference_images\": 10, \"max_layers\": 16, \"pricing_notes\": [\"Base price: single image generation at or under 2.61 megapixels (1.5K or lower).\", \"Single image above 2.61 MP: 2x base. Layer decomposition: 0.5x base per returned layer (1x above 2.61 MP).\", \"Reference images: first free, each additional image adds 1/15 of the base price.\"]}","login_required":0,"tags":"Image,Editing,2K","vendor_id":5,"quota_type":1,"model_ratio":0,"model_price":0.045,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image","image-editing"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","book_faces":{"standard":{"per_call":45000},"paid":null,"route_count":1}},{"model_name":"gpt-6-luna","description":"OpenAI GPT-6 Luna — OpenAI's most efficient model, built for focused, high-volume tasks. It supports text and image input, a 1,050,000-token context window, up to 128,000 output tokens, and reasoning effort from none to max, with medium as the default. Use /v1/responses for tool calling: on /v1/chat/completions, function calling works only with reasoning_effort set to none. On /v1/responses, send the whole conversation in the input array on every turn; requests that carry previous_response_id or conversation are refused.","specs":"{\"type\": \"llm\", \"context_window\": 1050000, \"max_output_tokens\": 128000, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"], \"reasoning_efforts\": [\"none\", \"low\", \"medium\", \"high\", \"xhigh\", \"max\"], \"pricing_notes\": [\"Standard: $0.10 input, $0.01 cached input, $0.125 cache write, and $0.50 output per 1M tokens.\", \"Above 272K input tokens, the full request uses 2x input and cache rates and 1.5x output pricing.\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,Multimodal,1M,Files","vendor_id":19,"quota_type":0,"model_ratio":0.05,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["openai","openai-response"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.1,"list_input_usd":0.1,"selling_usd":0.1,"unit":"text","list_source":"https://developers.openai.com/api/docs/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.1,"selling_usd":0.1,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":0.5,"selling_usd":0.5,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.01,"selling_usd":0.010000000000000002,"discount_pct":-0,"verdict":"at_list"},{"face":"cache_write","list_usd":0.125,"selling_usd":0.125,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":10000,"cache_write":125000,"input":100000,"output":500000},"paid":{"cache_read":6500,"cache_write":81250,"input":65000,"output":325000},"route_count":3,"tier_count":2,"tiers":[{"tier":"long_context","standard":{"cache_read":20000,"cache_write":250000,"input":200000,"output":750000},"paid":{"cache_read":13000,"cache_write":162500,"input":130000,"output":487500},"when":[{"dim":"context_len","context_len_gt":272000}]},{"tier":"standard","standard":{"cache_read":10000,"cache_write":125000,"input":100000,"output":500000},"paid":{"cache_read":6500,"cache_write":81250,"input":65000,"output":325000}}]}},{"model_name":"qwen-audio-3.0-tts-plus","description":"Alibaba Qwen-Audio-3.0-TTS-Plus — high-quality speech synthesis on the Qwen-Audio 3.0 base, covering more minority languages and Chinese dialects than the previous generation with markedly more authentic dialect pronunciation. Free-style instruction following and fine-grained tags steer emotion, tone, character, rate, volume, and style; the model is more robust under noise and reverberation. The plus tier favours fidelity and expressiveness, for content production, audiobooks, dubbing, and brand voice. Billed per character (1 token = 1 character). Reachable both as a request/response call and as a realtime WebSocket session.","login_required":0,"tags":"Audio,TTS,Voice,Multilingual,Dialects","vendor_id":4,"quota_type":0,"model_ratio":12.5,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-speech","realtime"],"capabilities":["audio-speech"],"tasks":["text-to-speech"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"characters","default_voice":"longanlingxin","default_response_format":"mp3","speech_input":"voice-name","book_faces":{"standard":{"input":25000000,"output":0},"paid":null,"route_count":1}},{"model_name":"step-3.5-flash","description":"StepFun step-3.5-flash — text-only reasoning model with 256K context, aimed at logic, mathematics, software engineering, and deep-research work where reasoning quality has to come with fast, reliable execution. Reasoning depth is selectable per request through reasoning_effort (low / medium / high). Supports tool calling, JSON Schema structured output, streaming, and prompt caching. For image or video input use step-3.7-flash.","login_required":0,"tags":"Reasoning,Tools,256K","vendor_id":18,"quota_type":0,"model_ratio":0.05,"model_price":0,"owner_by":"","completion_ratio":3,"cache_ratio":0.2,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.1,"list_input_usd":0.1,"selling_usd":0.1,"unit":"text","list_source":"https://platform.stepfun.ai/docs/en/guides/pricing/details","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.1,"selling_usd":0.1,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":0.3,"selling_usd":0.30000000000000004,"discount_pct":-0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.02,"selling_usd":0.020000000000000004,"discount_pct":-0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":20000,"input":100000,"output":300000},"paid":null,"route_count":1}},{"model_name":"agnes-video-2.5-flash","description":"Agnes AI Video 2.5 Flash — the 720P-only variant of Video 2.5, generating 4-12 second video from text, first/last keyframes, or image and audio references, with the same asynchronous task API.","specs":"{\"type\":\"video\",\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"video\"]}","login_required":0,"icon":"https://dash.chinaapi.ai/providers/agnes.png","tags":"Video,Text-to-Video,Image-to-Video","vendor_id":25,"quota_type":1,"model_ratio":0,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video","image-to-video"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_second","book_faces":{"standard":{"video_second":0},"paid":null,"route_count":1}},{"model_name":"qwen3.8-omni-flash","description":"Alibaba Qwen3.8-Omni-Flash analyzes text, images, audio and video and returns text. It offers a one-million-token context window for multimodal content analysis and conversation. This non-realtime model does not generate speech.","specs":"{\"type\": \"llm\", \"context_window\": 1000000, \"max_output_tokens\": 131072, \"input_modalities\": [\"text\", \"image\", \"audio\", \"video\"], \"output_modalities\": [\"text\"]}","login_required":0,"tags":"Multimodal,Audio,Vision,1M","vendor_id":4,"quota_type":0,"model_ratio":0.075,"model_price":0,"owner_by":"","completion_ratio":3.1333333333333333,"cache_ratio":0.10666666666666667,"audio_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai"],"capabilities":["text-multimodal","audio-speech"],"tasks":["chat","vision","audio-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.15,"list_input_usd":0.15,"selling_usd":0.15,"unit":"text","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-11-10","faces":[{"face":"input","list_usd":0.15,"selling_usd":0.15,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":0.47,"selling_usd":0.47,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.016,"selling_usd":0.016,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["audio_input"]},"book_faces":{"standard":{"audio_input":150000,"cache_read":16000,"input":150000,"output":470000},"paid":null,"route_count":1}},{"model_name":"LongCat-2.5","description":"Meituan LongCat-2.5 is a multimodal reasoning and coding model for long-running agent tasks, with text and image input and native Chat Completions, Responses and Messages. Cached-input discounts apply to reported cache hits. Native Responses cannot currently honor reasoning.effort=none; use Chat Completions or Messages with thinking.type=disabled to turn reasoning off.","specs":"{\"context_window\": 1048576, \"max_output_tokens\": 262144, \"supported_features\": [\"streaming\", \"function-calling\", \"vision\", \"reasoning\", \"full-client-history\"], \"known_limits\": [\"Native Responses reasoning.effort=none is rejected before upstream dispatch; use Chat Completions or Messages to disable reasoning.\", \"Stored response continuation and server-side paid tools are not qualified.\", \"LongCat lists limited-time promotional supplier prices without an end date; recheck within 30 days.\"]}","login_required":0,"tags":"1M,Vision,Reasoning,Tools","vendor_id":15,"quota_type":0,"model_ratio":0.165,"model_price":0,"owner_by":"","completion_ratio":4,"cache_ratio":0.02,"enable_groups":["default"],"supported_endpoint_types":["openai","openai-response","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":6600,"input":330000,"output":1320000},"paid":null,"route_count":1}},{"model_name":"qwen3.5-livetranslate-flash-realtime","description":"Alibaba Qwen3.5-LiveTranslate-Flash-Realtime — simultaneous audio and video interpretation over a WebSocket session, built on the Qwen3.5-Omni base with cross-language, cross-modal alignment and visual enhancement. Listens in 60 languages and speaks 29. Reached over GET /v1/realtime. Its price faces differ from the other realtime models: there is no text-input rate — input is billed as audio or image, and output as text or audio.","specs":"{\"type\":\"llm\",\"input_modalities\":[\"audio\",\"image\",\"video\"],\"output_modalities\":[\"text\",\"audio\"]}","login_required":0,"tags":"Realtime,Audio,Voice,Multilingual,Fast","vendor_id":4,"quota_type":0,"model_ratio":0.275,"model_price":0,"owner_by":"","completion_ratio":36.36363636363637,"cache_ratio":1,"image_ratio":1,"audio_ratio":13.636363636363637,"audio_completion_ratio":54.54545454545455,"enable_groups":["default"],"supported_endpoint_types":["realtime"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.55,"list_input_usd":0.55,"selling_usd":0.55,"unit":"text","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.55,"selling_usd":0.55,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":20,"selling_usd":20.000000000000004,"discount_pct":-0,"verdict":"at_list"}],"unverified_faces":["cache_read","image_input","audio_input","audio_output"]},"book_faces":{"standard":{"audio_input":7500000,"audio_output":30000000,"image_input":550000,"input":550000,"output":20000000},"paid":null,"route_count":1}},{"model_name":"stepaudio-2.5-realtime","description":"StepFun StepAudio 2.5 Realtime — end-to-end speech-to-speech over a WebSocket session at GET /v1/realtime: streaming audio or text in, streaming audio with a text transcript out, with server-side voice activity detection and interruption. Audio is PCM16, 24 kHz, mono; the vendor lists English as the supported language. Set the voice explicitly in session.update: only StepFun's listed voices are accepted.","login_required":0,"tags":"Realtime,Audio,Voice","vendor_id":18,"quota_type":0,"model_ratio":0.75,"model_price":0,"owner_by":"","completion_ratio":6.666666666666667,"cache_ratio":0.2,"audio_ratio":1,"audio_completion_ratio":6.666666666666667,"enable_groups":["default"],"supported_endpoint_types":["realtime"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":1.5,"list_input_usd":1.5,"selling_usd":1.5,"unit":"text","list_source":"https://platform.stepfun.ai/docs/en/guides/pricing/details","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":1.5,"selling_usd":1.5,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":10,"selling_usd":10,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.3,"selling_usd":0.30000000000000004,"discount_pct":-0,"verdict":"at_list"}],"unverified_faces":["audio_input","audio_output"]},"book_faces":{"standard":{"audio_input":1500000,"audio_output":10000000,"cache_read":300000,"input":1500000,"output":10000000},"paid":null,"route_count":1}},{"model_name":"agnes-2.5-flash","description":"Agnes AI Agnes 2.5 Flash — a fast multimodal agent model with a 512K input context and 65.5K reference output limit, supporting chat, streaming, tool calling, coding, reasoning, multi-turn dialogue, image understanding, and agent workflows.","specs":"{\"type\":\"llm\",\"context_window\":524288,\"max_output_tokens\":65536,\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"text\"]}","login_required":0,"icon":"https://dash.chinaapi.ai/providers/agnes.png","tags":"Reasoning,Tools,Vision,Multimodal,Fast","vendor_id":25,"quota_type":0,"model_ratio":0,"model_price":0,"owner_by":"","completion_ratio":0,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":0,"cache_write":0,"input":0,"output":0},"paid":null,"route_count":1}},{"model_name":"mimo-v2.5-asr","description":"Xiaomi MiMo v2.5 ASR — speech recognition model optimized for Chinese and English plus Chinese dialects, handling noisy, far-field, and multi-speaker audio as well as lyrics transcription.","login_required":0,"tags":"Audio,ASR,Dialects,Transcription","vendor_id":16,"quota_type":0,"model_ratio":0.616667,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-transcription"],"capabilities":["audio-speech"],"tasks":["transcription"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"audio_duration","vendor_list":{"verdict":"at_list","discount_pct":-0,"list_currency":"USD","list_input":0.074,"list_input_usd":0.074,"selling_usd":0.07400003999999999,"unit":"asr","list_source":"https://mimo.mi.com/docs/zh-CN/price/pay-as-you-go","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.074,"selling_usd":0.07400003999999999,"discount_pct":-0,"verdict":"at_list"}]},"book_faces":{"standard":{"input":1233334,"output":0},"paid":null,"route_count":1}},{"model_name":"step-tts-2","description":"StepFun step-tts-2 — end-to-end NTP-based text-to-speech built for accurate accent reproduction. Speaks Chinese, English, mixed Chinese-English, and Japanese, plus Cantonese and Sichuanese. Emotion and delivery are directed through natural-language labels, and zero-shot voice cloning takes roughly 10 seconds of reference audio, with the emotion and style controls carrying over to the cloned voice at no extra cost. Outputs wav, mp3, flac, opus, or pcm.","login_required":0,"tags":"Audio,TTS,Multilingual,Voice,VoiceClone","vendor_id":18,"quota_type":0,"model_ratio":20.74075,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-speech"],"capabilities":["audio-speech"],"tasks":["text-to-speech","voice-cloning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"characters","default_voice":"cixingnansheng","default_response_format":"mp3","speech_input":"voice-name","book_faces":{"standard":{"input":41481500,"output":0},"paid":null,"route_count":1}},{"model_name":"doubao-seed-2-1-pro-260628","description":"ByteDance Doubao Seed 2.1 Pro — flagship Doubao agent model for production work, covering deep thinking, text generation, multimodal understanding, tool calling, and structured output, for which the vendor recommends json_schema mode. 256K context window with 256K maximum input, up to 256K output tokens (4K by default), and a 256K chain-of-thought budget. Accepts text, image, and video and returns text; audio understanding is not listed for the 2.1 line. Supports implicit and explicit context caching, including prefix and session caches.","specs":"{\"type\":\"llm\",\"context_window\":256000,\"max_output_tokens\":256000,\"input_modalities\":[\"text\",\"image\",\"video\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,Multimodal,256K","vendor_id":5,"quota_type":0,"model_ratio":0.444445,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"input":888890,"output":4444450},"paid":null,"route_count":1}},{"model_name":"qwen3.8-omni-flash-realtime","description":"Alibaba Qwen3.8-Omni-Flash-Realtime supports real-time text, audio and video interaction over WebSocket. It accepts text, streaming audio and video frames and returns text and audio. Speech responses bill the generated text and audio separately.","specs":"{\"type\": \"llm\", \"input_modalities\": [\"text\", \"audio\", \"image\", \"video\"], \"output_modalities\": [\"text\", \"audio\"]}","login_required":0,"tags":"Realtime,Multimodal,Audio,Vision","vendor_id":4,"quota_type":0,"model_ratio":0.115,"model_price":0,"owner_by":"","completion_ratio":3.0434782608695654,"cache_ratio":1,"audio_ratio":4.043478260869565,"audio_completion_ratio":8.130434782608695,"enable_groups":["default"],"supported_endpoint_types":["realtime"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.23,"list_input_usd":0.23,"selling_usd":0.23,"unit":"text","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-11-10","faces":[{"face":"input","list_usd":0.23,"selling_usd":0.23,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":0.7,"selling_usd":0.7000000000000001,"discount_pct":-0,"verdict":"at_list"}],"unverified_faces":["cache_read","audio_input","audio_output"]},"book_faces":{"standard":{"audio_input":930000,"audio_output":1870000,"input":230000,"output":700000},"paid":null,"route_count":1}},{"model_name":"MiniMax-M2","description":"MiniMax M2 — the generation MiniMax first shipped for efficient coding and agent workflows, with a 204,800-token context window. It is the oldest tier the vendor still serves and the only one of the legacy tiers with no highspeed variant. Text only: the API accepts text and tool-call content blocks, not images or video. Vendor-designated legacy model that MiniMax states it still serves normally; carried for version compatibility, since customers pin a model name to a generation. Open weights are published on Hugging Face.","specs":"{\"type\": \"llm\", \"context_window\": 204800, \"input_modalities\": [\"text\"], \"output_modalities\": [\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Open Weights,200K","vendor_id":13,"quota_type":0,"model_ratio":0.15,"model_price":0,"owner_by":"","completion_ratio":4,"cache_ratio":0.1,"create_cache_ratio":1.25,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":30000,"cache_write":375000,"input":300000,"output":1200000},"paid":null,"route_count":1}},{"model_name":"grok-4.7-build-fast","description":"Grok 4.7-build-fast, supplied through a single reseller route. Supports text and image input, streaming, and function tools in Chat Completions and Responses. Reasoning is billed as output; output limits apply to visible text. The supplier adds a billable input prefix. On Responses, send the full conversation and preserve encrypted reasoning items; previous_response_id, conversation references and server-side tools are not supported. Published context limit: 500K tokens; the full limit is not independently qualified. When total input is \u003e 200,000 tokens, input/cache-read/output rates for the entire request, not only the excess, are 1.5 times the short-context rates: USD 6 / 1.5 / 18 per million tokens.","specs":"{\"type\": \"llm\", \"context_window\": 500000, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Vision","vendor_id":28,"quota_type":0,"model_ratio":2,"model_price":0,"owner_by":"","completion_ratio":3,"cache_ratio":0.25,"enable_groups":["default"],"supported_endpoint_types":["openai","openai-response"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":4,"list_input_usd":4,"selling_usd":4,"unit":"text","list_source":"https://docs.x.ai/developers/pricing","verified_at":"2026-11-02","faces":[{"face":"input","list_usd":4,"selling_usd":4,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":12,"selling_usd":12,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":1,"selling_usd":1,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":1000000,"input":4000000,"output":12000000},"paid":null,"route_count":1,"tier_count":2,"tiers":[{"tier":"long_context","standard":{"cache_read":1500000,"input":6000000,"output":18000000},"paid":null,"when":[{"dim":"context_len","context_len_gt":200000}]},{"tier":"standard","standard":{"cache_read":1000000,"input":4000000,"output":12000000},"paid":null}]}},{"model_name":"happyhorse-1.1-t2v","description":"Alibaba HappyHorse 1.1 (T2V) — text-to-video with improved semantic understanding, camera control, and dynamic generation. Fluid, detailed, physically consistent 720P/1080P video.","login_required":0,"tags":"Video,Text-to-Video","vendor_id":4,"quota_type":1,"model_ratio":0,"model_price":0.14,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_second","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.14,"list_input_usd":0.14,"selling_usd":0.14,"unit":"per_second","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.14,"selling_usd":0.14,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"video_second":140000},"paid":null,"route_count":1}},{"model_name":"stepaudio-2-asr-pro","description":"StepFun StepAudio 2 ASR Pro — 32B-parameter speech recognition model, the accuracy-first option in the StepFun ASR line where stepaudio-2.5-asr is the speed-and-cost option. Accepts ogg, mp3, and wav uploads; transcript output is not billed.","login_required":0,"tags":"Audio,ASR,Transcription","vendor_id":18,"quota_type":0,"model_ratio":2.4691335,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-transcription"],"capabilities":["audio-speech"],"tasks":["transcription"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"audio_duration","book_faces":{"standard":{"input":4938267,"output":0},"paid":null,"route_count":1}},{"model_name":"stepaudio-3-chat-preview","description":"StepFun StepAudio 3 Chat (preview) — speech-understanding dialogue model on POST /v1/chat/completions: send speech as input_audio content parts, or text, turn by turn and get text back, with tool calling. Free while StepFun's preview runs. StepFun retires the preview name when the free period ends and releases a paid version, so plan for this model ID to stop working at that point.","login_required":0,"tags":"Audio,Tools","vendor_id":18,"quota_type":0,"model_ratio":0,"model_price":0,"owner_by":"","completion_ratio":0,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai"],"capabilities":["text-multimodal","audio-speech"],"tasks":["chat","audio-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":0,"cache_write":0,"input":0,"output":0},"paid":null,"route_count":1}},{"model_name":"vidu-video-q3-pro","description":"Vidu Q3 Pro — quality-oriented text-to-video, image-to-video, and start/end-frame generation with synchronized audio/video output. Generates 1–16 seconds at 540P, 720P, or 1080P; reference-to-video is not supported by this SKU.","specs":"{\"type\": \"video\", \"min_duration_seconds\": 1, \"max_duration_seconds\": 16, \"resolutions\": [\"540P\", \"720P\", \"1080P\"], \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"video\", \"audio\"]}","login_required":0,"tags":"Video,Text-to-Video,Image-to-Video,First-Last-Frame,Audio","vendor_id":26,"quota_type":1,"model_ratio":0,"model_price":0.1,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video","image-to-video","first-last-frame","video-with-audio"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_second","book_faces":{"standard":{"video_second":100000},"paid":null,"route_count":1}},{"model_name":"agnes-3.0-flash","description":"Agnes AI Agnes 3.0 Flash — the vendor's new-generation language model, built for agent coding and tool-driven task execution, with a 512K input context and a 65,536-token output limit. Takes text and image-URL input and returns text, and supports streaming, function calling and multi-step tool orchestration, and long-task instruction following. Reachable on the OpenAI-compatible chat endpoint, the Responses endpoint and the Anthropic-compatible Messages endpoint. On the chat endpoint, Thinking mode is switched on by setting chat_template_kwargs.enable_thinking to true; measured 2026-09-21, requests without the field returned no reasoning tokens. With Thinking on, reasoning tokens count toward max_tokens, so size it for the reasoning as well as the answer.","specs":"{\"type\": \"llm\", \"context_window\": 524288, \"max_output_tokens\": 65536, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,Multimodal,512K,Fast","vendor_id":25,"quota_type":0,"model_ratio":0,"model_price":0,"owner_by":"","completion_ratio":0,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai","openai-response","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"cache_read":0,"cache_write":0,"input":0,"output":0},"paid":null,"route_count":1}},{"model_name":"doubao-seed-2-1-turbo-260628","description":"ByteDance Doubao Seed 2.1 Turbo — the low-latency lane of the Seed 2.1 line, sharing Pro's envelope: 256K context window with 256K maximum input, up to 256K output tokens (4K by default), and a 256K chain-of-thought budget. Covers deep thinking, text generation, multimodal understanding, tool calling, and structured output, though without Pro's json_schema recommendation. Accepts text, image, and video and returns text; audio understanding is not listed for the 2.1 line. Supports implicit and explicit context caching.","specs":"{\"type\":\"llm\",\"context_window\":256000,\"max_output_tokens\":256000,\"input_modalities\":[\"text\",\"image\",\"video\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,Fast,256K","vendor_id":5,"quota_type":0,"model_ratio":0.222222,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"input":444444,"output":2222220},"paid":null,"route_count":1}},{"model_name":"kling-4.0","description":"Kling 4.0 — text-to-video and image-to-video with native audiovisual generation, 3–30 integer seconds at 720p or 1080p. Supports up to ten image keyframes through metadata.contents. Gateway defaults explicitly to 720p, 5s, 16:9. USD service price: $0.18/s at 720p; $0.27/s at 1080p, including service margin. No video reference, Omni editing, shared asset IDs or 4K on this route.","login_required":0,"tags":"Video,Text-to-Video,Image-to-Video,First-Last-Frame,Audio","vendor_id":6,"quota_type":1,"model_ratio":0,"model_price":0.9,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video","image-to-video","first-last-frame","video-with-audio"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","book_faces":{"standard":{"per_call":900000},"paid":null,"route_count":1}},{"model_name":"MiniMax-H3","description":"MiniMax H3 (Hailuo 3.0) — next-generation open general-purpose multimodal video model producing native stereo audio in one pass, at 768P or 2K, 4-15 seconds (integers only), 24 fps. Covers text-to-video, image-to-video from a first and/or last frame, and reference generation from images, videos, or audio for character, motion, camera, style, voice, or editing rhythm; image-to-video and reference generation cannot be combined in one request. Accepts H.264/H.265 video, JPG, JPEG, PNG, WEBP, HEIC, and HEIF images, and WAV or MP3 audio, with prompts up to 7000 characters. $0.08/s at 768P, $0.13/s at 2K.","login_required":0,"tags":"Video,Text-to-Video,Image-to-Video,Reference-to-Video,Audio,Open Weights,First-Last-Frame","vendor_id":13,"quota_type":1,"model_ratio":0,"model_price":0.08,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video","image-to-video","first-last-frame","reference-to-video","video-with-audio"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_second","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.08,"list_input_usd":0.08,"selling_usd":0.08,"unit":"per_second","list_source":"https://platform.minimax.io/docs/guides/pricing-paygo","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.08,"selling_usd":0.08,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"video_second":80000},"paid":null,"route_count":1}},{"model_name":"qwen-audio-3.1-realtime-flash","description":"Alibaba Qwen-Audio-3.1-Realtime-Flash is the low-latency full-duplex speech tier with a 262,144-token context window. It accepts text and audio and returns text or speech over WebSocket, with separate text and audio rates.","specs":"{\"type\": \"llm\", \"context_window\": 262144, \"input_modalities\": [\"text\", \"audio\"], \"output_modalities\": [\"text\", \"audio\"]}","login_required":0,"tags":"Realtime,Audio,Voice,Multilingual,Fast","vendor_id":4,"quota_type":0,"model_ratio":0.145,"model_price":0,"owner_by":"","completion_ratio":3.0344827586206895,"cache_ratio":1,"audio_ratio":3.9655172413793105,"audio_completion_ratio":8.10344827586207,"enable_groups":["default"],"supported_endpoint_types":["realtime"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"audio_input":1150000,"audio_output":2350000,"input":290000,"output":880000},"paid":null,"route_count":1}},{"model_name":"doubao-seedance-2-0-fast-260128","description":"ByteDance Seedance 2.0 Fast — cost-efficient video generation carrying the full Seedance 2.0 feature set but capped at 480p and 720p, 24 fps, 4-15 seconds. Covers text-to-video, first-frame and first-and-last-frame image-to-video, multimodal reference generation from 1-9 images and up to 3 reference videos totalling 15 seconds, video editing, video extension, sound-on generation, and a web-search tool; an audio reference has to accompany an image or video. Returns MP4 in 21:9, 16:9, 4:3, 1:1, 3:4, or 9:16. 480p 5s ≈ $0.26.","login_required":0,"tags":"Video,Text-to-Video,Image-to-Video,Reference-to-Video,Audio,Fast,First-Last-Frame","vendor_id":5,"quota_type":0,"model_ratio":2.8,"model_price":0,"owner_by":"","completion_ratio":0,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video","image-to-video","first-last-frame","reference-to-video","video-with-audio"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"input":5600000,"output":0},"paid":null,"route_count":1}},{"model_name":"glm-5.3-flash","description":"Zhipu GLM-5.3-Flash — the first natively multimodal model in the GLM-5 line and its low-cost frontier tier: 320B total parameters with 18B active, on a hybrid linear + sparse attention architecture that cuts attention compute and KV cache several-fold against GLM-5.3 while halving both active parameters and layer count against GLM-4.5. Accepts text, images and video; returns text. (The vendor also advertises file input, which is not verified here and therefore not offered.) 1M-token context window and up to 128K output tokens. Supports thinking modes, function calling, structured JSON output, streaming, context caching and MCP tool integration. Positioned for visual coding — front-end, game and 3D work where the model inspects its own rendered output and iterates.","specs":"{\"type\": \"llm\", \"context_window\": 1000000, \"max_output_tokens\": 128000, \"input_modalities\": [\"text\", \"image\", \"video\"], \"output_modalities\": [\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Vision,Video,1M","vendor_id":2,"quota_type":0,"model_ratio":0.075,"model_price":0,"owner_by":"","completion_ratio":3.3333333333333335,"cache_ratio":0.2,"enable_groups":["default"],"supported_endpoint_types":["openai","anthropic"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.15,"list_input_usd":0.15,"selling_usd":0.15,"unit":"text","list_source":"https://docs.z.ai/guides/overview/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.15,"selling_usd":0.15,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":0.5,"selling_usd":0.5,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.03,"selling_usd":0.03,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":30000,"input":150000,"output":500000},"paid":{"cache_read":30000,"input":135000,"output":450000},"route_count":1}},{"model_name":"mimo-v2.5-tts-voiceclone","description":"Xiaomi MiMo v2.5 TTS VoiceClone — voice cloning model: supply a reference audio sample as a data URL in the voice field (data:{mime};base64,...) and it synthesises speech in that voice with no training, annotation, or fine-tuning step. Accepts MP3 (audio/mpeg) or WAV, with the base64-encoded string capped at 10 MB; Xiaomi publishes no minimum reference duration. Natural-language style instructions and inline audio tags carry over from mimo-v2.5-tts, but streaming is not available — the request runs in compatibility mode and returns once synthesis has completed.","login_required":0,"tags":"Audio,TTS,VoiceClone","vendor_id":16,"quota_type":0,"model_ratio":0,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-speech"],"capabilities":["audio-speech"],"tasks":["text-to-speech","voice-cloning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"characters","default_response_format":"wav","speech_input":"voice-clone","book_faces":{"standard":{"input":0,"output":0},"paid":null,"route_count":1}},{"model_name":"MiniMax-Hailuo-02","description":"MiniMax Hailuo 02 — budget video generation covering both text-to-video and image-to-video at 24 fps, with 512p and 768p available as 6-second or 10-second clips and 1080p at 6 seconds. The 512p tier is the entry point of the Hailuo line.","login_required":0,"tags":"Video,Text-to-Video,Image-to-Video,First-Last-Frame","vendor_id":13,"quota_type":1,"model_ratio":0,"model_price":0.28,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video","image-to-video","first-last-frame"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.28,"list_input_usd":0.28,"selling_usd":0.28,"unit":"per_call","list_source":"https://platform.minimax.io/docs/guides/pricing-paygo","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.28,"selling_usd":0.28,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"per_call":280000},"paid":null,"route_count":1}},{"model_name":"qwen-flash-character","description":"Alibaba Qwen-Flash-Character — Qwen's multilingual role-play model (dynamic version; the vendor announces updates in advance), tuned for persona-faithful character conversation: persona-constrained instruction following, topic advancement, listening, and empathy. 8,192-token context window, text in and text out. No thinking mode, tool calling, built-in tools, or structured output. The vendor's session cache applies automatically on its side.","specs":"{\"type\": \"llm\", \"context_window\": 8192, \"input_modalities\": [\"text\"], \"output_modalities\": [\"text\"]}","login_required":0,"tags":"Multilingual,Low-cost,8K","vendor_id":4,"quota_type":0,"model_ratio":0.025,"model_price":0,"owner_by":"","completion_ratio":8,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai"],"capabilities":["text-multimodal"],"tasks":["chat"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"input":50000,"output":400000},"paid":null,"route_count":1}},{"model_name":"qwen-mt-image-2.0","description":"Alibaba Qwen-MT-Image 2.0 — image translation: rewrites the text inside an image into another language while preserving layout, fonts, and the surrounding artwork, across 55 languages in any direction. Call it on the OpenAI images/edits endpoint with a public http(s) image URL in the image field plus target_lang (required; ISO code or English name) and source_lang (optional, default auto); prompt is required by the endpoint shape but ignored. Optional ext object passes the vendor's domainHint, sensitives, terminologies, and config.imageSegment through unchanged. Returns one same-size JPG URL valid for 24 hours. Input 15-8192 px per side, aspect ratio 1:10 to 10:1, up to 100 MB; uploads and data URLs are not accepted. The vendor rate-limits this model to 1 request per minute and bills an image even when it finds no translatable text (the original is returned). Served on a single official Alibaba channel.","specs":"{\"type\": \"image\", \"input_modalities\": [\"image\"], \"output_modalities\": [\"image\"], \"pricing_notes\": [\"$0.0006 per output image; a call whose image has no translatable text is still billed by the vendor and by us.\", \"Vendor rate limit: 1 request per minute.\"]}","login_required":0,"tags":"Image,Editing,Multilingual","vendor_id":4,"quota_type":1,"model_ratio":0,"model_price":0.0006,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image","image-editing"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.0006,"list_input_usd":0.0006,"selling_usd":0.0006,"unit":"per_call","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.0006,"selling_usd":0.0006,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"per_call":600},"paid":null,"route_count":1}},{"model_name":"stepaudio-2.5-asr","description":"StepFun StepAudio 2.5 ASR — 4B-parameter speech recognition model built on Multi-Token Prediction, transcribing five minutes of audio in about one second (RTF around 0.0053). Optimized for Chinese and English. Includes inverse text normalization, speaker identification, and dual-channel separation for call and meeting recordings. Accepts ogg, mp3, and wav uploads; transcript output is not billed.","login_required":0,"tags":"Audio,ASR,Transcription","vendor_id":18,"quota_type":0,"model_ratio":0.1833335,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-transcription"],"capabilities":["audio-speech"],"tasks":["transcription"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"audio_duration","vendor_list":{"verdict":"at_list","discount_pct":-0,"list_currency":"USD","list_input":0.022,"list_input_usd":0.022,"selling_usd":0.022000020000000002,"unit":"asr","list_source":"https://platform.stepfun.ai/docs/en/guides/pricing/details","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.022,"selling_usd":0.022000020000000002,"discount_pct":-0,"verdict":"at_list"}]},"book_faces":{"standard":{"input":366667,"output":0},"paid":null,"route_count":1}},{"model_name":"doubao-seedance-2-5-260628","description":"ByteDance Seedance 2.5 — the mainline Seedance model, stretching a single generation to 4-30 seconds at 24 fps while capping resolution at 480p and 720p. Multimodal reference generation scales to 1-30 images, up to 10 reference videos, and up to 10 reference audio clips (30 seconds total each), and unlike the 2.0 line an audio reference can stand on its own. Also covers text-to-video, first-frame and first-and-last-frame image-to-video, video editing, video extension, sound-on generation, and a web-search tool. Returns MP4 in 21:9, 16:9, 4:3, 1:1, 3:4, or 9:16.","login_required":0,"tags":"Video,Text-to-Video,Image-to-Video,Reference-to-Video,Audio,First-Last-Frame","vendor_id":5,"quota_type":0,"model_ratio":5.35,"model_price":0,"owner_by":"","completion_ratio":0,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video","image-to-video","first-last-frame","reference-to-video","video-with-audio"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"input":10700000,"output":0},"paid":null,"route_count":1}},{"model_name":"doubao-seedream-5-0-260128","description":"ByteDance Doubao Seedream 5.0-lite — text-to-image and image-to-image with smarter controllable creation, real-time retrieval, and stronger subject consistency (2K+ resolution).","login_required":0,"tags":"Image,4K","vendor_id":5,"quota_type":1,"model_ratio":0,"model_price":0.032593,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image","high-resolution"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","book_faces":{"standard":{"per_call":32593},"paid":null,"route_count":1}},{"model_name":"kimi-k3.1-pro-highspeed","description":"Kimi K3.1 Pro Highspeed — faster text reasoning for coding and agents. Use automatic tool selection and a sufficient reasoning/output budget. One-hour cache writes are not available on this route. Long-running requests may need a higher client timeout.","specs":"{\"type\": \"llm\", \"input_modalities\": [\"text\"], \"output_modalities\": [\"text\"], \"pricing_notes\": [\"Use tool_choice=auto or omit tool_choice. Thinking and visible output share the output budget.\", \"Text and tool acceptance do not certify long code-task delivery; bounded direct code probes on 2026-10-23 hit output limits, a timeout and HTTP 502.\", \"Explicit 1-hour cache TTL is rejected pending supplier cost verification.\"]}","login_required":0,"tags":"Reasoning,Tools,Streaming,Fast","vendor_id":3,"quota_type":0,"model_ratio":2,"model_price":0,"owner_by":"","completion_ratio":5,"cache_ratio":0.05,"create_cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":4,"list_input_usd":4,"selling_usd":4,"unit":"text","list_source":"https://platform.kimi.ai/docs/pricing/chat","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":4,"selling_usd":4,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":20,"selling_usd":20,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.2,"selling_usd":0.2,"discount_pct":0,"verdict":"at_list"},{"face":"cache_write","list_usd":4,"selling_usd":4,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":200000,"cache_write":4000000,"input":4000000,"output":20000000},"paid":{"cache_read":130000,"cache_write":2600000,"input":2600000,"output":13000000},"route_count":1}},{"model_name":"stepaudio-2.5-asr-stream","description":"StepFun StepAudio 2.5 ASR Stream — the streaming-recognition edition of StepAudio 2.5 ASR (a 4B-parameter recognizer built on Multi-Token Prediction, optimized for Chinese and English), and the streaming model StepFun recommends. On this gateway it is called like the other transcription models: upload a complete recording to /v1/audio/transcriptions and the full transcript is returned in one response once recognition finishes; partial results are not streamed back, and it costs more per audio minute than stepaudio-2.5-asr. Inverse text normalization is applied. Accepts 16-bit PCM wav and ogg uploads only (mp3 is not accepted); transcript output is not billed.","login_required":0,"tags":"Audio,ASR,Transcription","vendor_id":18,"quota_type":0,"model_ratio":1.5,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-transcription"],"capabilities":["audio-speech"],"tasks":["transcription"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"audio_duration","accepted_upload_formats":["wav","wave","ogg","oga"],"vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.18,"list_input_usd":0.18,"selling_usd":0.18,"unit":"asr","list_source":"https://platform.stepfun.ai/docs/en/guides/pricing/details","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.18,"selling_usd":0.18,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"input":3000000,"output":0},"paid":null,"route_count":1}},{"model_name":"stepaudio-3-music-preview","description":"StepFun StepAudio 3 Music (preview) — text-to-music from the StepAudio 3 series on POST /v1/music/generations, with the same request shape as minimax-music-v3.0: describe the style in prompt, add lyrics or set is_instrumental, and get the finished song back hex-encoded in data.audio (mp3 by default; wav, flac, opus or pcm through audio_setting.format). The call is synchronous and a song usually takes one to several minutes, so give the client a timeout of at least 600 seconds. Covers and accompaniment for an uploaded vocal are not offered. Free while StepFun's preview runs; StepFun retires the preview name when the free period ends and releases a paid version, so plan for this model ID to stop working at that point.","specs":"{\"type\": \"music\", \"input_modalities\": [\"text\"], \"output_modalities\": [\"audio\"], \"pricing_notes\": [\"Free while StepFun's preview runs; per call.\"]}","login_required":0,"tags":"Audio,Music,Text-to-Music","vendor_id":18,"quota_type":1,"model_ratio":0,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["music-generation"],"capabilities":["audio-speech"],"tasks":["music-generation"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_call","book_faces":{"standard":{"per_call":0},"paid":null,"route_count":1}},{"model_name":"wan3.0-video-prime","description":"Alibaba Wan3.0 Video Prime — the fast tier of the Wan 3.0 all-in-one video model, matching the standard tier's capabilities at higher generation speed. Text-to-video, first/last-frame image-to-video and reference-image-to-video (up to 10 reference images) behind one endpoint; H.264 MP4 at 480P, 720P or 1080P, 2 to 30 seconds, 30 fps, with audio by default. Billed per second of generated video on the vendor's ladder: 720P is the base rate, 480P costs just under half of it and 1080P double. A request that names no resolution renders at the vendor's default 1080P and is billed at that tier. Reference video, reference audio, file and web-link inputs are not accepted on this gateway, and smart duration (-1) is rejected; set duration explicitly. Served on a single official Alibaba channel.","specs":"{\"type\": \"video\", \"resolutions\": [\"480P\", \"720P\", \"1080P\"], \"max_duration_seconds\": 30, \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"video\"], \"pricing_notes\": [\"Per second of generated video: 480P $0.068, 720P $0.14 (base), 1080P $0.28.\", \"A request without a resolution renders and bills at the vendor's default 1080P tier.\", \"Reference video/audio, file and link inputs are not accepted on this gateway; use first_frame, last_frame and reference_image.\"]}","login_required":0,"tags":"Video,Text-to-Video,Image-to-Video,Fast,First-Last-Frame","vendor_id":4,"quota_type":1,"model_ratio":0,"model_price":0.14,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["openai-video"],"capabilities":["video"],"tasks":["text-to-video","image-to-video","first-last-frame"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"per_second","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.14,"list_input_usd":0.14,"selling_usd":0.14,"unit":"per_second","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.14,"selling_usd":0.14,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"video_second":140000},"paid":null,"route_count":1}},{"model_name":"gemini-3-pro-image","description":"Google Gemini 3 Pro Image (Nano Banana Pro) — a premium, reasoning-driven model for professional image generation and conversational editing. It excels at complex graphic design, high-fidelity product mockups, accurate multilingual text rendering, brand consistency, and factual visualizations grounded with Google Search. It accepts text and images, returns text and images, supports thinking, and generates 1K, 2K, or 4K output.","specs":"{\"type\":\"image\",\"context_window\":65536,\"max_output_tokens\":32768,\"input_modalities\":[\"text\",\"image\"],\"output_modalities\":[\"text\",\"image\"],\"request_protocol\":\"OpenAI Chat Completions\",\"image_response_path\":\"choices[0].message.content (Markdown data:image URL)\",\"reasoning_efforts\":[\"low\",\"high\"],\"resolutions\":[\"1K\",\"2K\",\"4K\"],\"health_probe\":{\"endpoint_type\":\"openai\",\"prompt\":\"Generate a simple blue circle centered on a white background.\"},\"pricing_notes\":[\"Standard: $2.00 input, $12.00 text/thinking output, and $120.00 image output per 1M tokens.\",\"Per image: $0.134 at 1K/2K and $0.24 at 4K.\",\"When routing is enabled, call POST /v1/chat/completions and read the Markdown data:image asset from choices[0].message.content.\"]}","login_required":0,"icon":"Gemini.Color","tags":"Google,image","vendor_id":21,"quota_type":0,"model_ratio":1,"model_price":0,"owner_by":"","completion_ratio":6,"cache_ratio":1,"enable_groups":["default"],"supported_endpoint_types":["openai"],"capabilities":["text-multimodal","image"],"tasks":["chat","text-to-image"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":2,"list_input_usd":2,"selling_usd":2,"unit":"text","list_source":"https://ai.google.dev/gemini-api/docs/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":2,"selling_usd":2,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":12,"selling_usd":12,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_read","image_output"]},"book_faces":{"standard":{"image_output":120000000,"input":2000000,"output":12000000},"paid":{"image_output":84000000,"input":1400000,"output":8400000},"route_count":2}},{"model_name":"gpt-image-2.5-flare","description":"OpenAI GPT Image 2.5 Flare — an image generation and editing model from OpenAI's GPT Image 2.5 line. Flare and gpt-image-2.5-sunburst are separate builds, not aliases of one model, sold at the same price; public leaderboards score them separately. Standard token pricing is $5 text input, $1.25 cached input, $8 image input, and $30 image output per 1M tokens.","specs":"{\"type\": \"image\", \"input_modalities\": [\"text\", \"image\"], \"output_modalities\": [\"image\"], \"resolutions\": [\"1024x1024\", \"1536x1024\", \"1024x1536\", \"auto\"], \"health_probe\": {\"endpoint_type\": \"image-generation\", \"prompt\": \"A simple blue circle on a white background.\", \"size\": \"1024x1024\"}, \"pricing_notes\": [\"Standard: $5 text input, $1.25 cached input, $8 image input, and $30 image output per 1M tokens.\"]}","login_required":0,"tags":"OpenAI,image","vendor_id":19,"quota_type":0,"model_ratio":2.5,"model_price":0,"owner_by":"","completion_ratio":6,"cache_ratio":0.25,"image_ratio":1.6,"enable_groups":["default"],"supported_endpoint_types":["image-generation"],"capabilities":["image"],"tasks":["text-to-image"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":5,"list_input_usd":5,"selling_usd":5,"unit":"text","list_source":"https://developers.openai.com/api/docs/pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":5,"selling_usd":5,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":30,"selling_usd":30,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":1.25,"selling_usd":1.25,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["image_input","image_output"]},"book_faces":{"standard":{"cache_read":1250000,"image_input":8000000,"image_output":30000000,"input":5000000,"output":30000000},"paid":{"cache_read":1250000,"image_input":6400000,"image_output":24000000,"input":4000000,"output":24000000},"route_count":2}},{"model_name":"qwen-audio-3.1-realtime-plus","description":"Alibaba Qwen-Audio-3.1-Realtime-Plus is a full-duplex speech conversation model with a 262,144-token context window. It accepts text and audio and returns text or speech over WebSocket, with separate text and audio rates.","specs":"{\"type\": \"llm\", \"context_window\": 262144, \"input_modalities\": [\"text\", \"audio\"], \"output_modalities\": [\"text\", \"audio\"]}","login_required":0,"tags":"Realtime,Audio,Voice,Multilingual","vendor_id":4,"quota_type":0,"model_ratio":0.5,"model_price":0,"owner_by":"","completion_ratio":8,"cache_ratio":1,"audio_ratio":8,"audio_completion_ratio":30,"enable_groups":["default"],"supported_endpoint_types":["realtime"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","book_faces":{"standard":{"audio_input":8000000,"audio_output":30000000,"input":1000000,"output":8000000},"paid":null,"route_count":1}},{"model_name":"qwen3.5-omni-plus-realtime","description":"Alibaba Qwen3.5-Omni-Plus-Realtime — the realtime tier of the Qwen3.5 omni-modal line, held open as a WebSocket session for full-duplex speech conversation. Understands text, image, audio, and audio-video; audio input in 60+ languages and speech output in 30+, with steerable voice, web search, complex function calling, and semantic barge-in. Reached over GET /v1/realtime. Audio input and audio-bearing output are billed on their own faces, well above the text rate.","specs":"{\"type\":\"llm\",\"input_modalities\":[\"text\",\"image\",\"audio\",\"video\"],\"output_modalities\":[\"text\",\"audio\"]}","login_required":0,"tags":"Realtime,Multimodal,Audio,Voice,Multilingual","vendor_id":4,"quota_type":0,"model_ratio":1.05,"model_price":0,"owner_by":"","completion_ratio":5.904761904761905,"cache_ratio":1,"audio_ratio":7.857142857142857,"audio_completion_ratio":29.523809523809526,"enable_groups":["default"],"supported_endpoint_types":["realtime"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":2.1,"list_input_usd":2.1,"selling_usd":2.1,"unit":"text","list_source":"https://www.alibabacloud.com/help/en/model-studio/model-pricing","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":2.1,"selling_usd":2.1,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":12.4,"selling_usd":12.4,"discount_pct":0,"verdict":"at_list"}],"unverified_faces":["cache_read","audio_input","audio_output"]},"book_faces":{"standard":{"audio_input":16500000,"audio_output":62000000,"input":2100000,"output":12400000},"paid":null,"route_count":1}},{"model_name":"MiniMax-M3","description":"MiniMax M3 — frontier multimodal coding model for agentic reasoning, tool use, and structured task execution, with a 1,000,000-token context window. Accepts text, images up to 10 MB, and video up to 50 MB inline or 512 MB through the Files API, and returns text. Supports tool calling, with thinking optional rather than always on.","specs":"{\"type\":\"llm\",\"context_window\":1000000,\"input_modalities\":[\"text\",\"image\",\"video\"],\"output_modalities\":[\"text\"]}","login_required":0,"tags":"Reasoning,Tools,Files,Open Weights,Vision,1M","vendor_id":13,"quota_type":0,"model_ratio":0.15,"model_price":0,"owner_by":"","completion_ratio":4,"cache_ratio":0.2,"enable_groups":["default"],"supported_endpoint_types":["anthropic","openai"],"capabilities":["text-multimodal"],"tasks":["chat","reasoning","vision","file-video-understanding"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"tokens","vendor_list":{"verdict":"at_list","discount_pct":0,"list_currency":"USD","list_input":0.3,"list_input_usd":0.3,"selling_usd":0.3,"unit":"text","list_source":"https://platform.minimax.io/docs/guides/pricing-paygo","verified_at":"2026-10-24","faces":[{"face":"input","list_usd":0.3,"selling_usd":0.3,"discount_pct":0,"verdict":"at_list"},{"face":"output","list_usd":1.2,"selling_usd":1.2,"discount_pct":0,"verdict":"at_list"},{"face":"cache_read","list_usd":0.06,"selling_usd":0.06,"discount_pct":0,"verdict":"at_list"}]},"book_faces":{"standard":{"cache_read":60000,"input":300000,"output":1200000},"paid":{"cache_read":39000,"input":195000,"output":780000},"route_count":2,"tier_count":4,"has_request_condition":true,"tiers":[{"tier":"priority_long_context","standard":{"cache_read":180000,"input":900000,"output":3600000},"paid":{"cache_read":117000,"input":585000,"output":2340000},"when":[{"dim":"request_attr","path":"service_tier","equals":"priority"},{"dim":"context_len","context_len_gt":512000}]},{"tier":"priority","standard":{"cache_read":90000,"input":450000,"output":1800000},"paid":{"cache_read":58500,"input":292500,"output":1170000},"when":[{"dim":"request_attr","path":"service_tier","equals":"priority"}]},{"tier":"long_context","standard":{"cache_read":120000,"input":600000,"output":2400000},"paid":{"cache_read":78000,"input":390000,"output":1560000},"when":[{"dim":"context_len","context_len_gt":512000}]},{"tier":"standard","standard":{"cache_read":60000,"input":300000,"output":1200000},"paid":{"cache_read":39000,"input":195000,"output":780000}}]}},{"model_name":"qwen-audio-3.0-tts-flash","description":"Alibaba Qwen-Audio-3.0-TTS-Flash — speech synthesis on the Qwen-Audio 3.0 base tuned for realtime interaction, covering more minority languages and Chinese dialects than the previous generation. Free-style instruction following and fine-grained tags steer emotion, tone, character, rate, and volume; the model is more robust under noise and reverberation. The flash tier optimises for low-latency synthesis, for voice assistants, live dialogue, and support agents. Billed per character (1 token = 1 character). Reachable both as a request/response call and as a realtime WebSocket session.","login_required":0,"tags":"Audio,TTS,Voice,Multilingual,Dialects,Low-latency","vendor_id":4,"quota_type":0,"model_ratio":9,"model_price":0,"owner_by":"","enable_groups":["default"],"supported_endpoint_types":["audio-speech","realtime"],"capabilities":["audio-speech"],"tasks":["text-to-speech"],"billing_rate":1,"billing_rate_source":"default","billing_unit":"characters","default_voice":"longanhuan_v3.6","default_response_format":"mp3","speech_input":"voice-name","book_faces":{"standard":{"input":18000000,"output":0},"paid":null,"route_count":1}}],"group_ratio":{"default":1},"paid_discount_model_count":53,"pricing_version":"60dcc15cf37f897a3f444d178b61a4354ca2adad7926e7d7f897bc1f3807142e","success":true,"supported_endpoint":{"anthropic":{"path":"/v1/messages","method":"POST"},"audio-generation":{"path":"/v1/audio/generate","method":"POST"},"audio-speech":{"path":"/v1/audio/speech","method":"POST"},"audio-transcription":{"path":"/v1/audio/transcriptions","method":"POST"},"gemini":{"path":"/v1beta/models/{model}:generateContent","method":"POST"},"image-generation":{"path":"/v1/images/generations","method":"POST"},"music-generation":{"path":"/v1/music/generations","method":"POST"},"openai":{"path":"/v1/chat/completions","method":"POST"},"openai-response":{"path":"/v1/responses","method":"POST"},"openai-video":{"path":"/v1/videos","method":"POST"},"realtime":{"path":"/v1/realtime","method":"GET"},"system-one":{"path":"/v1/systemone","method":"POST"}},"usable_group":{"default":"Default"},"vendors":[{"id":2,"name":"智谱","description":"Zhipu AI — the GLM model family.","icon":"Zhipu.Color"},{"id":5,"name":"字节跳动","description":"ByteDance — Doubao LLMs and Seedance video generation.","icon":"Doubao.Color"},{"id":17,"name":"Tencent","description":"Tencent — Hunyuan (混元) model family.","icon":"Hunyuan.Color"},{"id":19,"name":"OpenAI","description":"OpenAI models","icon":"OpenAI"},{"id":25,"name":"Agnes AI","description":"Agnes AI — multimodal text, image, and video generation models.","icon":"https://dash.chinaapi.ai/providers/agnes.png"},{"id":16,"name":"Xiaomi","description":"Xiaomi — MiMo model family.","icon":"https://chinaapi.ai/assets/logos/xiaomi.png"},{"id":1,"name":"DeepSeek","description":"DeepSeek — open-weights frontier LLMs for reasoning and coding.","icon":"DeepSeek.Color"},{"id":4,"name":"阿里巴巴","description":"Alibaba — the Qwen model family.","icon":"Qwen.Color"},{"id":13,"name":"MiniMax","description":"MiniMax — MiniMax LLMs and Hailuo video generation.","icon":"Minimax.Color"},{"id":20,"name":"Anthropic","description":"Claude models","icon":"Claude.Color"},{"id":26,"name":"Vidu","description":"Vidu — ShengShu Technology video generation models.","icon":"https://dash.chinaapi.ai/providers/vidu.svg"},{"id":28,"name":"xAI","description":"xAI — maker of the Grok models.","icon":"XAI"},{"id":29,"name":"Meta","description":"Meta — maker of the Muse Spark models.","icon":"Meta.Color"},{"id":3,"name":"Moonshot","description":"Moonshot AI — the Kimi model family.","icon":"Moonshot"},{"id":6,"name":"快手","description":"Kuaishou — the Kling video generation family.","icon":"Kling.Color"},{"id":15,"name":"Meituan","description":"Meituan — LongCat model family.","icon":"https://chinaapi.ai/assets/logos/longcat.png"},{"id":18,"name":"StepFun","description":"StepFun (阶跃星辰) — Step model family.","icon":"Stepfun.Color"},{"id":21,"name":"Google","description":"Gemini models","icon":"Gemini.Color"},{"id":27,"name":"TypeSafe","description":"TypeSafe — Jev, a System One decision model: typed questions in, typed answers with calibrated probabilities out.","icon":"https://dash.chinaapi.ai/providers/typesafe.png"}]}