openai/gpt-6.1-sol/chatGPT 6.1 Sol reviews difficult code changes and professional analyses with text and image evidence in one conversation. Sol’s 128,000-token reply budget includes reasoning as well as the patch or analysis you see; the default cap is 4,096.
Workbench
These examples were written for this endpoint. Replace the prompt and sample media URLs with your own accessible inputs, then check the current quote and model availability before submitting.
- Input types
- Text
- Output types
- Text
- Input
- $2 / 1 million tokens
- Cached input
- $0.10 / 1 million tokens
- Output
- $10 / 1 million tokens
- Context
- 1050K
- Max output
- 128K
$2/10per 1 million tokens · input / output
basic Keep code, failing behavior and acceptance criteria together when asking Sol for a repair; ask it to identify which file supports each finding.
- 1024
- Input types
- Text
- Output types
- Text
- Input
- $2 / 1 million tokens
- Cached input
- $0.10 / 1 million tokens
- Output
- $10 / 1 million tokens
- Context
- 1050K
- Max output
- 128K
$2/10per 1 million tokens · input / output
tool-step Sol can propose functions through this platform’s compatibility interface, with up to 128 definitions; your application executes them and returns the matching tool_call_id. OpenAI’s native tool interface uses Responses.
- 1024
- auto
This example starts at Input $2 / Output $10 per 1 million tokens. The Playground updates the estimate when you change the settings.
