Meta: Muse Wonder
meta/muse-wonder- Modalities
- text+image+file+audio+video->text
- In / out price
- $4 / $20
- Context
- 1M
- Released
- Oct 12, 2026
- Knowledge cutoff
- —
per 1M
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...
Supported parameters
include_reasoningInclude reasoning
Include a reasoning summary in the response.
max_tokensMax tokens
Upper bound on generated tokens. Output stops at the limit.
reasoningReasoning
Enable or configure reasoning. The fields differ by model.
reasoning_effortReasoning effort
How much compute to spend reasoning. Often low, medium, or high.
repetition_penaltyRepetition penalty
Penalizes text that already appeared. Common on open models.
response_formatResponse format
For example json_object or json_schema, to constrain the shape.
structured_outputsStructured outputs
Generate a parseable structure that follows a JSON Schema.
temperatureTemperature
Sampling temperature. Lower is steadier, higher is more varied. Often 0 to 2.
tool_choiceTool choice
Whether to call a tool: auto, none, or a named function.
toolsTools
Function definitions the model may call via tool_calls.
top_kTop-K
Sample only from the K most likely tokens.
top_pTop-p
Sample only from tokens whose cumulative probability reaches top_p.