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google/gemini-4-argon/chat

Gemini 4 Argon API brings Google’s reasoning model to software investigations and multi-step knowledge work, with text, images and audio in one chat. Its 1,048,576-token context is shared by input, thinking and output.

Input $4Output $20per 1 million tokensCached input $0.20
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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
    $4 / 1 million tokens
    Cached input
    $0.20 / 1 million tokens
    Output
    $20 / 1 million tokens
    Context
    1,048,576
    Max output
    65,536

    $4/20per 1 million tokens · input / output

    basic

    Gemini 4 Argon API brings Google’s reasoning model to software investigations and multi-step knowledge work, with text, images and audio in one chat. Its 1,048,576-token context is shared by input, thinking and output. For an Argon investigation, ask which passage supports each finding and which check would resolve the uncertainty before accepting a proposed code change.

    • 1024
  • Input types
    Text
    Output types
    Text
    Input
    $4 / 1 million tokens
    Cached input
    $0.20 / 1 million tokens
    Output
    $20 / 1 million tokens
    Context
    1,048,576
    Max output
    65,536

    $4/20per 1 million tokens · input / output

    tool-step

    Define up to 128 functions for Argon to request during a code or document investigation; your application checks the proposed arguments, runs the operation and returns the result with its tool_call_id.

    • 1024
    • auto

This example starts at Input $4 / Output $20 per 1 million tokens. The Playground updates the estimate when you change the settings.