LLM Comparison

Claude Fable 5 vs Muse Spark 1.3 Max: benchmark scores, pricing & comparison.

Side-by-side Claude Fable 5 vs Muse Spark 1.3 Max 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.

Rank #3 vs #24AskClash overall scores 79.3 vs 63.3.
Pricing $10.0/$50.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightsAnthropic vs Meta.

Claude Fable 5 vs Muse Spark 1.3 Max benchmark comparison

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

MetricClaude Fable 5Muse Spark 1.3 Max
Overall Score79.363.3
Leaderboard Rank#3#24
ACB64.662.6
RWT9.07.5
Coding Agent Index77.2
HLE64.548.7
GPQA94.593.5
IFEval80.3
SWE-bench95.5
SWE-Pro80.3
SWE-Atlas83.3
Terminal-Bench88.0
DeepSWE69.7
GDPval-AA1932.51674.1
OSWorld85.0
Finance Agent56.360.0
CharXiv93.5
MMMU-Pro89.3
Tau289.2
Input Price (per 1M tokens)$10.0
Output Price (per 1M tokens)$50.0
Context Window1M+1M
Benchmarks Published158

Claude Fable 5 vs Muse Spark 1.3 Max head-to-head charts

Claude Fable 5 leads 6 and Muse Spark 1.3 Max leads 1 of 7 shared benchmarks. Charts show only benchmarks both models publish.

Claude Fable 5Muse Spark 1.3 Max
Overall
79.3Claude Fable 5
63.3Muse Spark 1.3 Max
ACB
64.6Claude Fable 5
62.6Muse Spark 1.3 Max
RWT
9.0Claude Fable 5
7.5Muse Spark 1.3 Max
HLE
64.5Claude Fable 5
48.7Muse Spark 1.3 Max
GPQA
94.5Claude Fable 5
93.5Muse Spark 1.3 Max
GDPval-AA
1932.5Claude Fable 5
1674.1Muse Spark 1.3 Max
Finance Agent
56.3Claude Fable 5
60.0Muse Spark 1.3 Max
Claude Fable 5
Input$10.0
Output$50.0
Workload$20
Context1M+
Muse Spark 1.3 Max
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 and Muse Spark 1.3 Max comparisons

Explore how Claude Fable 5 and Muse Spark 1.3 Max 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.