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Grok 4.3 is xAI's chat model behind an OpenAI-compatible call, taking text and image parts in one message array. It reads 1,000,000 tokens, replies up to 900,000, and offers five reasoning-effort levels including none.

Input $1.25Output $2.50per 1 million tokensCached input $0.20Prompts of 200K tokens or moreInput $2.50Output $5

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
    $1.25 / 1 million tokens
    Cached input
    $0.20 / 1 million tokens
    Output
    $2.50 / 1 million tokens
    Context
    1M
    Max output
    900K

    $1.25/2.50per 1 million tokens · input / output

    evaluation-plan

    A text-only request that raises reasoning_effort to high, above this model's default of low, because the plan has to be worked out rather than looked up.

    • 3000
    • 0.3
    • high
  • Input types
    Text
    Output types
    Text
    Input
    $1.25 / 1 million tokens
    Cached input
    $0.20 / 1 million tokens
    Output
    $2.50 / 1 million tokens
    Context
    1M
    Max output
    900K

    $1.25/2.50per 1 million tokens · input / output

    screenshot-triage

    Two image_url parts at detail high beside the question, in one user turn, with effort left at the default low.

    • 2000
    • 0.2

This example starts at Input $1.25 / Output $2.50 per 1 million tokens. The Playground updates the estimate when you change the settings.