LLM Comparison

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

Side-by-side Muse Wonder Full vs Claude Fable 5.1 (XHigh) 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: Muse Wonder Full ranks higher (#7 vs #13).

Rank #7 vs #13AskClash overall scores 71.2 vs 69.0.
Pricing —/— vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs AI modelMeta vs Anthropic.

Muse Wonder Full vs Claude Fable 5.1 (XHigh) benchmark comparison

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

MetricMuse Wonder FullClaude Fable 5.1 (XHigh)
Overall Score71.269.0
Leaderboard Rank#7#13
ACB—79.2
RWT—9.0
HLE53.658.7
GPQA—93.4
Terminal-Bench57.1—
DeepSWE79.0—
GDPval-AA1857.11732.1
Finance Agent59.1—
ARC-AGI 2—90.0
Input Price (per 1M tokens)——
Output Price (per 1M tokens)——
Context Window1M—
Benchmarks Published88

Muse Wonder Full vs Claude Fable 5.1 (XHigh) head-to-head charts

Muse Wonder Full leads 2 and Claude Fable 5.1 (XHigh) leads 1 of 3 shared benchmarks. Charts show only benchmarks both models publish.

Muse Wonder FullClaude Fable 5.1 (XHigh)
Overall
71.2Muse Wonder Full
69.0Claude Fable 5.1 (XHigh)
HLE
53.6Muse Wonder Full
58.7Claude Fable 5.1 (XHigh)
GDPval-AA
1857.1Muse Wonder Full
1732.1Claude Fable 5.1 (XHigh)
Muse Wonder Full
Input—
Output—
Workload—
Context1M
Claude Fable 5.1 (XHigh)
Input—
Output—
Workload—
Context—

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

More Muse Wonder Full and Claude Fable 5.1 (XHigh) comparisons

Explore how Muse Wonder Full and Claude Fable 5.1 (XHigh) 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.