Muse Wonder
Meta's Muse Wonder is a frontier reasoning model designed for complex personal and professional agentic tasks. It accepts text, images, audio, video, and PDF documents across a one-million-token context window, supports tool calling and structured output, and always reasons before answering.
- Reasoning
- Vision
- Audio Input
- Video Input
- Native PDF input
- Tool Calling
- Structured Output
Added Oct 12, 2026
Pricing
Auto routing · per 1M tokens- Input
- $4.00
- Output
- $20.00
- Cache read
- $0.20
Specifications
- Context window
- 1M
- Max output
- N/A
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
52.4
Document reasoning
AA-LCR (unversioned / legacy)
Legacy fallback · Long context reasoning evaluation
80.7%
Better than 89% of models compared
Reasoning
HLE
Humanity's Last Exam
50.1%
Better than 96% of models compared
Coding
SciCode
Python programming for scientific computing
60.3%
Better than 95% of models compared
Last updated Oct 12, 2026
Artificial AnalysisProviders
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