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Decision support

Claude Fable 5.2 vs Muse Wonder

Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.

ModelsHardware
Claude Fable 5.2

Anthropic

Sources:models.devOpenRouter

Muse Wonder

Meta

Sources:models.devOpenRouter

Benchmark results

Head to head on 2 benchmarks both models report

  • Claude Fable 5.22leads
  • Muse Wonder0leads

  • Arena Text

    Arena rating · Higher is better

    • Claude Fable 5.2
      Not reported
    • Muse Wonder
      1511
      Arena #3CI 1505 to 1517
    Runs and sources
    Claude Fable 5.2

    Not reported

    Muse Wonder
    • max151195% CI 1505 to 1517 · 12,032 votes
    Source:Arena Text leaderboard, 2026-11-09

  • Arena WebDev

    Arena rating · Higher is better

    • Claude Fable 5.2
      Best1836
      +187 ahead · Arena #1CI 1813 to 1858
    • Muse Wonder
      1649
      Arena #21CI 1639 to 1658
    Runs and sources
    Claude Fable 5.2
    • xhigh183695% CI 1813 to 1858 · 994 votes
    Muse Wonder
    • max164995% CI 1639 to 1658 · 5,232 votes
    Source:Arena WebDev leaderboard, 2026-11-10

  • Agent Arena

    IPS score · Higher is better

    • Claude Fable 5.2
      Best+0.304
      +0.286 ahead · Arena #1CI +0.264 to +0.343
    • Muse Wonder
      +0.018
      Arena #24CI +0.005 to +0.031
    Runs and sources
    Claude Fable 5.2
    • max+0.30495% CI +0.264 to +0.343 · 577,927 observations
    Muse Wonder
    • max+0.01895% CI +0.005 to +0.031 · 2,231,226 observations
    Source:Agent Arena leaderboard, 2026-11-11

  • ARC-AGI-2

    Best published score · Higher is better

    • Claude Fable 5.2
      93.8%
      #4 of 85
    • Muse Wonder
      Not reported
    Runs and sources
    Claude Fable 5.2
    • low86.7%
    • medium89.6%
    • high90.4%
    • xhigh93.8%
    • max92.5%
    Muse Wonder

    Not reported

    Source:External evaluation via Epoch AIOriginal-source terms apply

  • FrontierMath-Tier-4-v2-Private

    Best published score · Higher is better

    • Claude Fable 5.2
      100.0%
      #1 of 72
    • Muse Wonder
      Not reported
    Runs and sources
    Claude Fable 5.2
    • max100.0%
    Muse Wonder

    Not reported

    Source:Epoch AI evaluation

  • FrontierMath-Tiers-1-3-v2-Private

    Best published score · Higher is better

    • Claude Fable 5.2
      95.1%
      #1 of 87
    • Muse Wonder
      Not reported
    Runs and sources
    Claude Fable 5.2
    • max95.1%
    Muse Wonder

    Not reported

    Source:Epoch AI evaluation

  • GPQA diamond

    Best published score · Higher is better

    • Claude Fable 5.2
      93.9%
      #14 of 161
    • Muse Wonder
      Not reported
    Runs and sources
    Claude Fable 5.2
    • max93.9%
    Muse Wonder

    Not reported

    Source:Epoch AI evaluation

  • OTIS Mock AIME 2024-2025

    Best published score · Higher is better

    • Claude Fable 5.2
      99.7%
      #13 of 158
    • Muse Wonder
      Not reported
    Runs and sources
    Claude Fable 5.2
    • max99.7%
    Muse Wonder

    Not reported

    Source:Epoch AI evaluation

  • SimpleQA Verified

    Best published score · Higher is better

    • Claude Fable 5.2
      94.0%
      #1 of 87
    • Muse Wonder
      Not reported
    Runs and sources
    Claude Fable 5.2
    • max94.0%
    Muse Wonder

    Not reported

    Source:Epoch AI evaluation

Each model's best published result is shown; "Not reported" means no matched evaluation, not a score of zero. Arena and DeepSWE ranks are the leaderboards' own; other ranks are among catalogue models with a score. Results from different harnesses or settings are not directly comparable.

Original-source terms apply to evaluations credited to their original publishers.

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

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.

Model specifications

Release date
November 7, 2026
October 12, 2026
Context window
1M
1M
Native context
—
—
Max output tokens
128,000
943,718
Knowledge cutoff
2026-06
—
Open weights
Closed
Closed
Parameter count
—
—

API pricing · USD per 1M tokens

Input
$8.00
$4.00
Output
$40.00
$20.00
Cached input
$0.20
$0.20
Cache write
$10.00
—

Capabilities and modalities

Input modalities
text, image, file
text, image, video, file, audio
Output modalities
text
text
Tool calling
Supported
Supported
Reasoning option
Supported
Supported
Supported options
include_reasoning, max_completion_tokens, max_tokens, reasoning, reasoning_effort, response_format, stop, structured_outputs, tool_choice, tools, verbosity
include_reasoning, max_tokens, reasoning, reasoning_effort, repetition_penalty, response_format, seed, structured_outputs, temperature, tool_choice, tools, top_k, top_p
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
Claude
Other
Instruction format
—
—
License
—
—
Providers
4
2
Provider endpoints
10
2
Ollama variants
0
0
Metadata source
ai-research
ai-research

A dash means the field is not reported. Provider-specific performance and pricing may differ.

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