LLM Comparison

Claude Fable 5.1 vs Muse Spark Open: benchmark scores, pricing & comparison.

Side-by-side Claude Fable 5.1 vs Muse Spark Open 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 #27) and wins 5 of 5 shared benchmarks.

Rank #2 vs #27AskClash overall scores 78.0 vs 56.9.
Pricing $10.0/$50.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAnthropic vs Meta.

Claude Fable 5.1 vs Muse Spark Open benchmark comparison

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

MetricClaude Fable 5.1Muse Spark Open
Overall Score78.056.9
Leaderboard Rank#2#27
ACB79.2—
RWT9.07.5
HLE65.043.9
GPQA93.789.0
SWE-Pro81.2—
Terminal-Bench52.0—
DeepSWE67.4—
GDPval-AA1853.01401.1
MCP Atlas—89.2
Finance Agent58.9—
MMMU-Pro90.680.9
ARC-AGI 290.0—
Input Price (per 1M tokens)$10.0—
Output Price (per 1M tokens)$50.0—
Context Window1M1M
Benchmarks Published138

Claude Fable 5.1 vs Muse Spark Open head-to-head charts

Claude Fable 5.1 leads 6 and Muse Spark Open leads 0 of 6 shared benchmarks. Charts show only benchmarks both models publish.

Claude Fable 5.1Muse Spark Open
Overall
78.0Claude Fable 5.1
56.9Muse Spark Open
RWT
9.0Claude Fable 5.1
7.5Muse Spark Open
HLE
65.0Claude Fable 5.1
43.9Muse Spark Open
GPQA
93.7Claude Fable 5.1
89.0Muse Spark Open
GDPval-AA
1853.0Claude Fable 5.1
1401.1Muse Spark Open
MMMU-Pro
90.6Claude Fable 5.1
80.9Muse Spark Open
Claude Fable 5.1
Input$10.0
Output$50.0
Workload$20
Context1M
Muse Spark Open
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 Spark Open comparisons

Explore how Claude Fable 5.1 and Muse Spark Open 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.