Standard & Paid Price
| Meter | Standard Price | Paid Price | Save |
|---|---|---|---|
| Input price | $2.0000 / 1M tokens | $1.1000 / 1M tokens | -45% |
| Completion price | $10.0000 / 1M tokens | $5.5000 / 1M tokens | -45% |
| Cache read price | $0.2000 / 1M tokens | $0.1100 / 1M tokens | -45% |
| Cache creation price | $2.5000 / 1M tokens | $2.5000 / 1M tokens | — |
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.
Capabilities
- Input modalities
- text, image
- Output modalities
- text
- Tasks
- chat, reasoning, vision, file-video-understanding
Decision evidence
GPT-6 Sol is OpenAI's closed-weight model for complex coding and agentic work, released on 2026-09-22 as a lower-cost alternative to GPT-6 Astra, with a 1,050,000-token context window (922,000 input), 128,000 output tokens and text and image input. Reviewed tests consistently find it much faster and cheaper than Claude Opus 5.5 and GPT-6 Astra; on quality, both coding leaderboards place it below Opus 5.5 and several one-prompt comparisons preferred Opus's results, while a lava-lamp build and a $20-plan comparison favoured Sol.
2026-09-25 · Markdown evidence · JSON data
API endpoints
POST /v1/chat/completions(openai)POST /v1/responses(openai-response)