Muse Wonder Full

Meta
Muse Wonder Full launch post cover
Context
1Mtokens
Released
1mo ago

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Arena leaderboards and other sourced evaluations appear below; missing scores are not zero.

How it ranks

Against its predecessor, similarly priced models and the models ranked around it.

DeepSWE 1.1

Best pass@1 per model · Higher is better

Not evaluated in DeepSWE 1.1

Arena Text

Best Arena rating per model · Higher is better

Not ranked on Arena Text yet

Arena WebDev

Best Arena rating per model · Higher is better

Arena #8

  1. 1743
    GPT-6.1 SolNearby rank
  2. 1742
    Claude Fable 5.1Nearby rank
  3. 1723
    Muse Wonder Full
  4. 1691
    Claude Opus 5Nearby rank
  5. 1688
    Kimi K3.1 ProNearby rank
  6. 1664
    DeepSeek V4.1 Flash 1017Similar release date
  7. 1594
    Claude Haiku 5.5Similar release date
  8. 1564
    Mistral Large 4Similar release date
  9. 1437
    Beam 1.0 501B A23BSimilar release date

Ahead of 4 of 4 models released around the same time

Arena Search

Best Arena rating per model · Higher is better

Not ranked on Arena Search yet

Agent Arena

Best IPS score per model · Higher is better

Arena #10

  1. +0.120
    GPT-6.1 TerraNearby rank
  2. +0.107
    Gemini 4 ArgonNearby rank
  3. +0.090
    Muse Wonder Full
  4. +0.073
    Claude Fable 5Nearby rank
  5. +0.072
    Claude Opus 5Nearby rank
  6. +0.020
    DeepSeek V4.1 Flash 1017Similar release date
  7. +0.005
    Claude Haiku 5.5Similar release date
  8. -0.054
    Mistral Large 4Similar release date
  9. -0.059
    Beam 1.0 501B A23BSimilar release date

Ahead of 4 of 4 models released around the same time

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

All published scores

Arena ratings: Arena (lmarena-ai/leaderboard-dataset), licensed CC BY 4.0. Ratings come from pairwise human votes and are only comparable within one leaderboard; the interval is Arena's 95% confidence interval. Model names are matched to the Vertical Tabs catalog.

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