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openai/gpt-6.1-sol/chat

GPT 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.

Input $2Output $10per 1 million tokensCached input $0.10Cache write $2.50Prompts over 272K tokensInput $4Cached input $0.20Cache write $5Output $15

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.