LLM Comparison

Claude Fable 5.1 vs Muse Wonder Full: benchmark scores, pricing & comparison.

Side-by-side Claude Fable 5.1 vs Muse Wonder Full comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Verdict: Claude Fable 5.1 ranks higher (#2 vs #6); Muse Wonder Full wins 4 of 5 shared benchmarks.

Rank #2 vs #6AskClash overall scores 77.8 vs 71.7.
Pricing $10.0/$50.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs Meta.

Claude Fable 5.1 vs Muse Wonder Full benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricClaude Fable 5.1Muse Wonder Full
Overall Score77.871.7
Leaderboard Rank#2#6
ACB79.2—
RWT9.0—
Coding Agent Index62.2—
HLE65.053.6
GPQA93.7—
SWE-Pro81.2—
SWE-Atlas64.8—
Terminal-Bench52.057.1
DeepSWE67.479.0
GDPval-AA1853.01857.1
Finance Agent58.959.1
MMMU-Pro90.6—
ARC-AGI 290.0—
Input Price (per 1M tokens)$10.0—
Output Price (per 1M tokens)$50.0—
Context Window1M1M
Benchmarks Published158

Claude Fable 5.1 vs Muse Wonder Full head-to-head charts

Claude Fable 5.1 leads 2 and Muse Wonder Full leads 4 of 6 shared benchmarks. Charts show only benchmarks both models publish.

Claude Fable 5.1Muse Wonder Full
Overall
77.8Claude Fable 5.1
71.7Muse Wonder Full
HLE
65.0Claude Fable 5.1
53.6Muse Wonder Full
Terminal-Bench
52.0Claude Fable 5.1
57.1Muse Wonder Full
DeepSWE
67.4Claude Fable 5.1
79.0Muse Wonder Full
GDPval-AA
1853.0Claude Fable 5.1
1857.1Muse Wonder Full
Finance Agent
58.9Claude Fable 5.1
59.1Muse Wonder Full
Claude Fable 5.1
Input$10.0
Output$50.0
Workload$20
Context1M
Muse Wonder Full
Input—
Output—
Workload—
Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Claude Fable 5.1 and Muse Wonder Full comparisons

Explore how Claude Fable 5.1 and Muse Wonder Full stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.