Closed SourceMetaReleased 2026-10

Muse Wonder

Meta's first frontier model, built for long-running agent tasks

Context window

1M

Input / 1M tokens

$4.00

Output / 1M tokens

$20.00

Provider

Meta

Prices and context from TechCrunch, VentureBeat and Artificial Analysis; Meta does not list them on its own pages. Cached input $0.20 per 1M. The stronger Muse Wonder Full is available only to Muse Code subscribers, with no API. · Data verified 2026-10-15

Muse Wonder (October 12, 2026) is the first frontier-class model from Meta Superintelligence Labs, built for long-running personal and professional agent work with what Meta calls Active Memory and Active Focus. It accepts text, image, audio, video and PDF input. It is available through the Meta Model API and Muse Code; a stronger variant, Muse Wonder Full, is limited to Muse Code subscribers. Unlike Meta's earlier Llama models, it is proprietary.

Capability index

Relative estimates (0-100) to place this model against its peers, grounded in published benchmarks.

Coding
92
Reasoning
90
Math
88
Multimodal
90
Long context
92
Speed
70
Cost efficiency
75

How to access it

Meta Model API and Muse Code; also listed on OpenRouter as meta/muse-wonder.

Strengths

  • ✓Frontier-level intelligence: 52 on the Artificial Analysis Intelligence Index (Full: 56)
  • ✓Strong coding: 78.8 on DeepSWE 1.1 (third-party reported)
  • ✓Natively multimodal input including audio and video
  • ✓Priced on par with Claude Opus 5.5

Best for developers who...

Long-running agent workflowsCoding agentsMultimodal analysis of documents, audio and video

Benchmarks

BenchmarkScoreNotes
Artificial Analysis Intelligence Index52Third-party; Muse Wonder Full 56, Claude Opus 5.5 58, GPT-6 Astra 53
DeepSWE 1.178.8Third-party reported; Full 79.0
SWE-Marathon53.1Third-party reported; Full 57.5

Source: Artificial Analysis

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