Meta

Meta: Muse Wonder 1.0

meta/muse-wonder-1.0
Context

1M

Input

text, image, audio, video, file

Output

text

Tool calling

Supported

OverviewProvidersPricingBenchmarksAPI and quickstartReviews

About this model

Muse Wonder 1.0 is Meta's frontier multimodal reasoning and agentic AI model developed by Meta Superintelligence Labs. It is designed for complex software engineering, long-running autonomous workflows, professional knowledge work, and advanced computer use. The model supports a 1,048,576-token context window, text, image, audio, video and PDF understanding, tool calling, structured outputs, search grounding, and configurable reasoning effort from minimal to max. It introduces Active Memory for retaining relevant information across conversations and Active Focus for sustaining multi-step tasks, recovering from errors, delegating to sub-agents and verifying results. Muse Wonder is optimized for coding, financial analysis, legal research, healthcare reasoning, browser automation, desktop interaction and agent orchestration.

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Input modalities

text

Accepted as model input

image

Accepted as model input

audio

Accepted as model input

video

Accepted as model input

file

Accepted as model input

Providers

Available routing options for this model through OneInfer.

Meta
Available

Input tokens

$4.000 / 1M tokens

Output tokens

$20.000 / 1M tokens

Routing

OneInfer optimized

Pricing

Current OneInfer pricing for this model.

UsagePrice
Input tokens$4.000 / 1M tokens
Output tokens$20.000 / 1M tokens
Cached input tokens$0.200 / 1M tokens

Performance & Benchmarks

Independent evaluations and live cluster operational metrics

We haven’t measured this model yet. Published academic results are under Academic Evaluations.

API Guide

API docs
  1. 1

    Generate your access token

    Use your API key to generate the JWT access token required by the Models API.

  2. 2

    Add the JWT token

    Copy the generated JWT token and replace JWT_TOKEN in the example below.

  3. 3

    Check your credits

    If your balance is too low, before calling the model.

  4. 4

    Run the API example

    Choose your preferred language, copy the example, and send your first model request.

    curl https://api.oneinfer.ai/v1/ula/chat/completions \
  -H "Authorization: Bearer $JWT_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta/muse-wonder-1.0",
    "messages": [
      { "role": "user", "content": "Hello!" }
    ]
  }'

Community Model Reviews & Ratings

Verified visitor & developer evaluations on Meta: Muse Wonder 1.0's real-world intelligence, code accuracy, and speed

4.8
Community consensus rating
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