Meta

Muse Wonder Full

Muse Wonder Full is the most capable model in Meta's Muse Wonder series, built for long-running professional agents and ultra-long-horizon software engineering. It shares Muse Wonder's Active Memory and Active Focus capabilities and generally scores higher on Meta's agentic and coding evaluations.

meta/muse-wonder-full

Context

1M

Output

—

Released

2026-10-12

Knowledge cutoff

—

Types

InputTextImageAudioVideo
OutputText

Reasoning

Supported

Tool use

Supported

Structured output

—

Attachments

Supported

Open weights

—

Provider pricing

No providers currently list this model.

Benchmarks

  • Harvey Legal Agent Benchmark

    13.1 · all-pass rate

  • Finance Agent

    59.1 · accuracy

  • HealthBench Professional

    62.3 · length-normalized weighted rubric score

  • AutomationBench

    45.4 · strict pass@1

  • GDP.pdf

    33.2 · score

  • JobBench

    75.3 · mean reward

  • OSWorld

    78.4 · mean partial score

  • OSWorld

    39.4 · binary completion rate

  • Terminal-Bench

    57.1 · accuracy

  • DeepSWE

    79 · pass@1

  • SWE-Marathon

    57.5 · pass@1

  • ProgramBench

    59 · share of rollouts passing at least 95% of tests

  • Artificial Analysis Intelligence Index

    56 · index score

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