{"data":{"schema_version":"model_decision_evidence.v1","snapshot_date":"2026-09-25","model":{"model":"wan3.0-video","direct_answer":"Wan 3.0 Video is Alibaba's all-in-one video model, on Alibaba Cloud Model Studio since 2026-08-06, that covers text-to-video, first-frame and first-and-last-frame video, multimodal reference, video editing and extension in one model, generating up to 30 seconds at 30 fps with native dialogue, music and sound effects at 480P, 720P or 1080P. Alibaba has published no Wan 3.0 weights. In the reviewed side-by-side test it beat MiniMax H3 on fast action, physics and camera motion but still struggled with dialogue-driven scenes.","verified_at":"2026-09-25","model_card":{"context_window":"Not applicable (video model)","max_output":"2–30 seconds per generation (or an automatic duration) at 30 fps, in 480P, 720P or 1080P (1080P by default), with native dialogue, background music and sound effects","modalities":"Text; an optional first frame or first and last frames; or up to 20 reference materials per request (at most 10 images, 5 video clips and 5 audio clips, each clip set at most 15 seconds in total, plus a public document or web page); video with audio output. Editing and extension take a reference video.","parameter_count":"Not disclosed"},"official_sources":[{"title":"Wan3.0 Video Generation","publisher":"Alibaba Cloud Model Studio","url":"https://www.alibabacloud.com/help/en/model-studio/wan3-video-generation-guide","retrieved_at":"2026-09-25"},{"title":"wan3.0 Video Generation Prompt Guide","publisher":"Alibaba Cloud Model Studio","url":"https://www.alibabacloud.com/help/en/model-studio/wan3-video-generation-prompt-guide","retrieved_at":"2026-09-25"},{"title":"Newly released models","publisher":"Alibaba Cloud Model Studio","url":"https://www.alibabacloud.com/help/en/model-studio/newly-released-models","retrieved_at":"2026-09-25"}],"open_weights":{"status":"not_available","summary":"Alibaba has published no Wan 3.0 weights: on 2026-09-25 neither the Wan-AI organisation on Hugging Face nor the Wan-Video organisation on GitHub had a Wan 3.0 repository; their newest open releases are Wan 2.2 models. Model Studio serves wan3.0-video and wan3.0-video-prime as hosted models.","repository":"","licence":"Proprietary hosted model","hardware":"Not applicable","recommended_runtime":"ChinaAPI or Alibaba Cloud Model Studio","source_urls":["https://huggingface.co/Wan-AI","https://github.com/Wan-Video","https://www.alibabacloud.com/help/en/model-studio/wan3-video-generation-guide"],"verified_at":"2026-09-25","agent_recipe":""},"curated_comparisons":[],"open_weight_alternatives":[],"reviews":[{"id":"youtube-rax-films-wan3-vs-h3-2026-09","platform":"YouTube","evidence_type":"task_test","title":"WAN 3.0 and MiniMax H3 compared clip by clip on scenes from an AI horror short","url":"https://www.youtube.com/watch?v=zVzUcIt9v38","published_at":"2026-09-22","retrieved_at":"2026-09-25","verified_at":"2026-09-25","author":{"name":"Rax Films","handle":"@Rax_films","profile_url":"https://www.youtube.com/@Rax_films","description":"AI short-film channel that makes survival-horror, frontier-thriller and sci-fi fan films with AI video models"},"task":"Scenes from the author's own AI survival-horror short, Wrong Turn: Blood Money: fast chases and action, and slower acting and dialogue scenes","method":"A side-by-side, clip-by-clip comparison of both models' generations for the same scenes at 16:9, shown without voiceover; the verdict is the author's own written breakdown in the video description.","finding":"WAN 3.0 was a clear step ahead on high-speed action, kinetic physics, chase choreography and cinematic camera movement, handling rapid motion with fewer artifacts; MiniMax H3 won the acting and dialogue scenes on micro-expressions, emotional delivery, lip sync and keeping voice identity and accents, an area where WAN 3.0 still struggles.","limitation":"One creator's qualitative verdict on scenes from their own film: there are no scores, and the description does not say how many generations were made, which platform or settings were used, or which Wan 3.0 tier was tested.","metrics":[{"label":"Fast action, physics and camera motion","value":"WAN 3.0 ahead"},{"label":"Acting, dialogue and lip sync","value":"MiniMax H3 ahead"}]}]},"ranking":{"name":"wan3.0-video","display_name":"Wan 3.0 Video","vendor":"Alibaba","origin":"cn","category":"video","release_date":"2026-08-13","on_chinaapi":true,"sources":[{"leaderboard":"lmarena_t2v","metric":"Arena score (Elo)","value":"1476","entry":"wan3.0","url":"https://arena.ai/leaderboard/text-to-video","retrieved_at":"2026-10-05","interval":"±13","samples":2598},{"leaderboard":"lmarena_i2v","metric":"Arena score (Elo)","value":"1480","entry":"wan3.0","url":"https://arena.ai/leaderboard/image-to-video","retrieved_at":"2026-10-05","interval":"±11","samples":3442},{"leaderboard":"aa_video_t2v_audio","metric":"Elo","value":"1242","entry":"Wan 3.0","url":"https://artificialanalysis.ai/video/leaderboard/text-to-video","retrieved_at":"2026-09-13","interval":"-9/9","samples":5746},{"leaderboard":"aa_video_i2v_audio","metric":"Elo","value":"1178","entry":"Wan 3.0","url":"https://artificialanalysis.ai/video/leaderboard/image-to-video","retrieved_at":"2026-09-13","interval":"-8/8","samples":7876}],"notes":"Scores quote the arena's wan3.0 rows, linked to Alibaba's Wan3.0 release. These scores are not attributed to the separate Prime SKU.","reference_metrics":[{"kind":"price","task":"text_to_video_audio","value":"12.00","unit":"USD / video minute","operator":"Artificial Analysis","provider":"Alibaba","entry":"Wan 3.0","conditions":"1080p; creator API; default settings (AA pricing footnote, not the quality row resolution)","url":"https://artificialanalysis.ai/video/leaderboard/text-to-video","retrieved_at":"2026-09-13"},{"kind":"price","task":"image_to_video_audio","value":"12.00","unit":"USD / video minute","operator":"Artificial Analysis","provider":"Alibaba","entry":"Wan 3.0","conditions":"1080p; creator API; default settings (AA pricing footnote, not the quality row resolution)","url":"https://artificialanalysis.ai/video/leaderboard/image-to-video","retrieved_at":"2026-09-13"}]},"sources":{"aa_gdpval":{"id":"aa_gdpval","name":"Artificial Analysis · GDPval-AA v2.1","operator":"Artificial Analysis","metric":"Agentic Real-World Work Tasks, (Elo-500)/2000 (%)","url":"https://artificialanalysis.ai/leaderboards/models","edition":"GDPval-AA v2.1, live board, read 2026-09-22. 220 agentic task-completion tasks with file outputs, ranked pairwise by a panel of three frontier LLM judges; since v2.1 the Elo scale is anchored to DeepSeek V4.1 Flash (max) at 1600 and fitted with a Crowd-BT model, so its figures are not comparable with the v2 figures this page quoted from its 2026-09-12 read. The column prints clamp((Elo-500)/2000). It carries 10% of the Agents category inside Intelligence Index v4.3.2, so this column is a component of the AA Intelligence Index shown as an individual source, not an independent operator. Rows Artificial Analysis marks deprecated are read with the leaderboard's Status filter set to All (CA-948). The column is hidden until the leaderboard's Intelligence group is expanded","retrieved_at":"2026-09-22","scene":"agent_work"},"aa_image_edit":{"id":"aa_image_edit","name":"Artificial Analysis Editing","operator":"Artificial Analysis","metric":"Elo","url":"https://artificialanalysis.ai/image/leaderboard/editing","edition":"live board; exact row settings retained","retrieved_at":"2026-09-13","task":"image_editing"},"aa_image_t2i":{"id":"aa_image_t2i","name":"Artificial Analysis Text To Image","operator":"Artificial Analysis","metric":"Elo","url":"https://artificialanalysis.ai/image/leaderboard/text-to-image","edition":"live board; exact row settings retained","retrieved_at":"2026-09-13","task":"text_to_image"},"aa_index":{"id":"aa_index","name":"Artificial Analysis Intelligence Index","operator":"Artificial Analysis","metric":"Intelligence Index","url":"https://artificialanalysis.ai/leaderboards/models","edition":"Intelligence Index v4.3.2, read 2026-09-22; its figures are not comparable with the v4.3 figures this page quoted from its 2026-09-12 read. v4.3.1 refreshed the pairwise judge panels of AA-Briefcase and GDPval-AA, and v4.3.2 moved GDPval-AA to v2.1 (Elo scale anchored to DeepSeek V4.1 Flash (max) at 1600, fitted with a Crowd-BT model) and refitted AA-Briefcase v1.1 with Crowd-BT, so rows moved without any model changing. v4.3 had already swapped τ³-Banking out of the index for AutomationBench-AA and Terminal-Bench v2.1 for v4.0. The leaderboard's default Status: Current filter hides rows Artificial Analysis marks deprecated; they still render with Status set to All and are re-read from that view like any other row (CA-948). A trailing * is reproduced as the board prints it: the board's data marks that score as estimated (intelligenceIndexIsEstimated), i.e. not every evaluation in the index had been run for that model","retrieved_at":"2026-09-22"},"aa_mlcr":{"id":"aa_mlcr","name":"Artificial Analysis · MLCR-AA","operator":"Artificial Analysis","metric":"Medical Long Context Reasoning (%)","url":"https://artificialanalysis.ai/evaluations/mlcr-aa","edition":"MLCR-AA, live board, read 2026-09-22. Artificial Analysis marks it a standalone evaluation that is NOT part of Intelligence Index v4.3 — unlike the GDPval-AA v2 and Terminal-Bench v4.0 columns, this one is not a component of the AA Intelligence Index shown as an individual source, only the same operator. The underlying benchmark is Wisedocs' open MLCR (Wisedocs-AI/medical-long-context-reasoning): synthetic medical records of roughly 25,000-64,000 tokens, graded across six tiers from locating a single fact to expert-level clinical synthesis. It measures multi-document reasoning over long records, not medical capability in general. The main leaderboard carries no column for it; the figures were first read off the evaluation page's chart (2026-09-07) and since 2026-09-22 from the per-model pages' payload, which carries every model the chart can show (CA-956)","retrieved_at":"2026-09-22","scene":"medical"},"aa_speed":{"id":"aa_speed","name":"Artificial Analysis · Output Speed","operator":"Artificial Analysis","metric":"Median output tokens/s","url":"https://artificialanalysis.ai/leaderboards/models","edition":"live board; measured by Artificial Analysis against the vendor's own API, not through ChinaAPI. Rows Artificial Analysis marks deprecated are read with the leaderboard's Status filter set to All (CA-948)","retrieved_at":"2026-09-22","scene":"speed"},"aa_tbench_v40":{"id":"aa_tbench_v40","name":"Artificial Analysis · Terminal-Bench v4.0","operator":"Artificial Analysis","metric":"Agentic Coding \u0026 Terminal Use (%)","url":"https://artificialanalysis.ai/leaderboards/models","edition":"Terminal-Bench 4.0 (66 tasks), run by Artificial Analysis with the mini-swe-agent harness, pass@1 averaged over 3 repeats per task; read 2026-09-22. When this column replaced the benchmark's own board on 2026-09-07 the methodology page named the harness as mini-SWE-agent v2.4.6; on 2026-09-21 it and the evaluation page name mini-swe-agent without a version, and every figure quoted before then read back unchanged. One harness for every model, so the column compares models rather than model-plus-best-scaffold — which is why it replaced the benchmark's own board, whose rows are agent × model and covered one Chinese model out of 34 (CA-788, overturning CA-734). It carries 10% of the Coding category inside Intelligence Index v4.3.2, so this column is a component of the AA Intelligence Index shown as an individual source, not an independent operator. Rows Artificial Analysis marks deprecated are read with the leaderboard's Status filter set to All (CA-948). The column is hidden until the leaderboard's Intelligence group is expanded","retrieved_at":"2026-09-22","scene":"agentic"},"aa_video_i2v_audio":{"id":"aa_video_i2v_audio","name":"Artificial Analysis Image To Video · With Audio","operator":"Artificial Analysis","metric":"Elo","url":"https://artificialanalysis.ai/video/leaderboard/image-to-video","edition":"live board; with audio pool; exact row settings retained","retrieved_at":"2026-09-13","task":"image_to_video_audio"},"aa_video_t2v_audio":{"id":"aa_video_t2v_audio","name":"Artificial Analysis Text To Video · With Audio","operator":"Artificial Analysis","metric":"Elo","url":"https://artificialanalysis.ai/video/leaderboard/text-to-video","edition":"live board; with audio pool; exact row settings retained","retrieved_at":"2026-09-13","task":"text_to_video_audio"},"epoch_eci":{"id":"epoch_eci","name":"Epoch Capabilities Index (ECI)","operator":"Epoch AI","metric":"General ECI","url":"https://epoch.ai/eci","edition":"live board","licence":"CC BY 4.0, as labelled on the page (https://creativecommons.org/licenses/by/4.0/)","retrieved_at":"2026-10-04"},"livebench":{"id":"livebench","name":"LiveBench","operator":"LiveBench (sponsored by Abacus.AI)","metric":"Overall","url":"https://livebench.ai/","edition":"LiveBench-2026-06-25","retrieved_at":"2026-10-04"},"livebench_agentic_coding":{"id":"livebench_agentic_coding","name":"LiveBench · Agentic Coding","operator":"LiveBench (sponsored by Abacus.AI)","metric":"Agentic Coding","url":"https://livebench.ai/","edition":"LiveBench-2026-06-25","retrieved_at":"2026-10-04","scene":"agentic"},"livebench_coding":{"id":"livebench_coding","name":"LiveBench · Coding","operator":"LiveBench (sponsored by Abacus.AI)","metric":"Coding","url":"https://livebench.ai/","edition":"LiveBench-2026-06-25","retrieved_at":"2026-10-04","scene":"coding"},"lmarena_i2v":{"id":"lmarena_i2v","name":"LMArena Image-to-Video Arena","operator":"LMArena (arena.ai)","metric":"Arena score (Elo)","url":"https://arena.ai/leaderboard/image-to-video","edition":"Hugging Face dataset lmarena-ai/leaderboard-dataset (image_to_video, category overall), published 2026-09-22, revision 46919c467f7f. Each rating is rounded half-up to a whole number and its interval is rating_upper minus rating, as arena.ai prints them; the dataset carries no Preliminary badge, so each citation records its row's vote count instead, and row names follow the dataset, which can trail a rename on arena.ai","licence":"CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), as labelled on the dataset card (https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset)","retrieved_at":"2026-10-05","task":"image_to_video","updated_at":"2026-09-22"},"lmarena_image_edit":{"id":"lmarena_image_edit","name":"LMArena Image Edit Arena","operator":"LMArena (arena.ai)","metric":"Arena score (Elo)","url":"https://arena.ai/leaderboard/image-edit","edition":"Hugging Face dataset lmarena-ai/leaderboard-dataset (image_edit, category overall), published 2026-09-30, revision 46919c467f7f. Each rating is rounded half-up to a whole number and its interval is rating_upper minus rating, as arena.ai prints them; the dataset carries no Preliminary badge, so each citation records its row's vote count instead, and row names follow the dataset, which can trail a rename on arena.ai","licence":"CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), as labelled on the dataset card (https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset)","retrieved_at":"2026-10-05","task":"image_editing","updated_at":"2026-09-30"},"lmarena_t2i":{"id":"lmarena_t2i","name":"LMArena Text-to-Image Arena","operator":"LMArena (arena.ai)","metric":"Arena score (Elo)","url":"https://arena.ai/leaderboard/text-to-image","edition":"Hugging Face dataset lmarena-ai/leaderboard-dataset (text_to_image, category overall), published 2026-09-24, revision 46919c467f7f. Each rating is rounded half-up to a whole number and its interval is rating_upper minus rating, as arena.ai prints them; the dataset carries no Preliminary badge, so each citation records its row's vote count instead, and row names follow the dataset, which can trail a rename on arena.ai","licence":"CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), as labelled on the dataset card (https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset)","retrieved_at":"2026-10-05","task":"text_to_image","updated_at":"2026-09-24"},"lmarena_t2v":{"id":"lmarena_t2v","name":"LMArena Text-to-Video Arena","operator":"LMArena (arena.ai)","metric":"Arena score (Elo)","url":"https://arena.ai/leaderboard/text-to-video","edition":"Hugging Face dataset lmarena-ai/leaderboard-dataset (text_to_video, category overall), published 2026-09-22, revision 46919c467f7f. Each rating is rounded half-up to a whole number and its interval is rating_upper minus rating, as arena.ai prints them; the dataset carries no Preliminary badge, so each citation records its row's vote count instead, and row names follow the dataset, which can trail a rename on arena.ai","licence":"CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), as labelled on the dataset card (https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset)","retrieved_at":"2026-10-05","task":"text_to_video","updated_at":"2026-09-22"},"lmarena_text":{"id":"lmarena_text","name":"LMArena Text Arena","operator":"LMArena (arena.ai)","metric":"Arena score (Elo)","url":"https://arena.ai/leaderboard/text","edition":"Hugging Face dataset lmarena-ai/leaderboard-dataset (text_style_control, category overall), published 2026-10-02, revision 46919c467f7f. Each rating is rounded half-up to a whole number and its interval is rating_upper minus rating, as arena.ai prints them; the dataset carries no Preliminary badge, so each citation records its row's vote count instead, and row names follow the dataset, which can trail a rename on arena.ai","licence":"CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), as labelled on the dataset card (https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset)","retrieved_at":"2026-10-05","updated_at":"2026-10-02"},"lmarena_text_chinese":{"id":"lmarena_text_chinese","name":"LMArena Text Arena · Chinese","operator":"LMArena (arena.ai)","metric":"Arena score (Elo)","url":"https://arena.ai/leaderboard/text/chinese","edition":"Hugging Face dataset lmarena-ai/leaderboard-dataset (text_style_control, category chinese, prompts in Chinese), published 2026-10-02, revision 46919c467f7f. Each rating is rounded half-up to a whole number and its interval is rating_upper minus rating, as arena.ai prints them; the dataset carries no Preliminary badge, so each citation records its row's vote count instead, and row names follow the dataset, which can trail a rename on arena.ai","licence":"CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), as labelled on the dataset card (https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset)","retrieved_at":"2026-10-05","scene":"chinese","updated_at":"2026-10-02"},"lmarena_text_coding":{"id":"lmarena_text_coding","name":"LMArena Text Arena · Coding","operator":"LMArena (arena.ai)","metric":"Arena score (Elo)","url":"https://arena.ai/leaderboard/text/coding","edition":"Hugging Face dataset lmarena-ai/leaderboard-dataset (text_style_control, category coding), published 2026-10-02, revision 46919c467f7f. Each rating is rounded half-up to a whole number and its interval is rating_upper minus rating, as arena.ai prints them; the dataset carries no Preliminary badge, so each citation records its row's vote count instead, and row names follow the dataset, which can trail a rename on arena.ai","licence":"CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), as labelled on the dataset card (https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset)","retrieved_at":"2026-10-05","scene":"coding","updated_at":"2026-10-02"},"superclue":{"id":"superclue","name":"SuperCLUE 智能指数","operator":"SuperCLUE","metric":"总分 (overall)","url":"https://www.superclueai.com/homepage","edition":"2026-07 evaluation, published 2026-08-06. The homepage reads this edition from its data file (/data/generalboard/2026年7月.xlsx, sheet 总排行榜, last modified 2026-09-11), which also carries rows evaluated after publication, each with its own evaluation publication date (the latest 2026-09-11); the page's Latest Update line refers to a different sub-board","retrieved_at":"2026-10-04"},"vals_index":{"id":"vals_index","name":"Vals Index","operator":"Vals AI","metric":"Accuracy (GDP-weighted finance, coding, legal and tax)","url":"https://www.vals.ai/benchmarks/vals_index","edition":"V2.1, page states updated 2026-10-02; read 2026-10-04. This revision covers finance, coding, legal and tax tasks and is not comparable with the V2 figures previously quoted. The entire cited cohort was re-read, including standard errors; 11 previously cited V2 rows are absent from the V2.1 board. Figures use the default scores including provider fallbacks, as labelled by Vals.","retrieved_at":"2026-10-04"},"vendor_card":{"id":"vendor_card","name":"Vendor's own evaluation card","operator":"the model's own vendor","metric":"varies; the benchmark is named in each row","url":"","edition":"self-reported","self_reported":true,"retrieved_at":"2026-09-22"}}},"success":true}