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Muse Wonder 1.0 API

meta/muse-wonder-1.0/chat

Muse Wonder 1.0 is the standard Muse Wonder model from Meta, offered by Meta as a frontier model for coding, long-running agents and computer use. This chat endpoint takes text, images, video and audio in one message list, reads up to 1,048,576 tokens of input, streams its reply and returns function calls for your application to run. Meta's larger Wonder Full variant is a separate product and is not what this endpoint serves.

Input $4Output $20per 1 million tokensCached input $0.20
Run model

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
    $4 / 1 million tokens
    Cached input
    $0.20 / 1 million tokens
    Output
    $20 / 1 million tokens
    Context
    1,048,576
    Max output
    1,048,576

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

    basic

    Muse Wonder 1.0 is the standard Muse Wonder model from Meta, offered by Meta as a frontier model for coding, long-running agents and computer use. This chat endpoint takes text, images, video and audio in one message list, reads up to 1,048,576 tokens of input, streams its reply and returns function calls for your application to run. Meta's larger Wonder Full variant is a separate product and is not what this endpoint serves.

    • 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
    1,048,576

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

    tool-step

    Muse Wonder 1.0 can help plan a database-library upgrade: supply the current interface, the proposed version and the tests that define compatibility. Ask for a change plan before requesting a patch. This is the standard Wonder endpoint; choosing max reasoning does not switch to Wonder Full. Tool selection here is auto only, so the application must decide whether to execute each proposed operation.

    • 1024
    • auto

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