LLM Comparison

Muse Spark 1.3 vs Claude Opus 5.5: benchmark scores, pricing & comparison.

Side-by-side Muse Spark 1.3 vs Claude Opus 5.5 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 #8 vs #12AskClash overall scores 66.8 vs 64.5.
Pricing $1.25/$4.25 vs $4.00/$20.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryMeta vs Anthropic.

Muse Spark 1.3 vs Claude Opus 5.5 benchmark comparison

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

MetricMuse Spark 1.3Claude Opus 5.5
Overall Score66.864.5
Leaderboard Rank#8#12
ACB62.661.7
RWT7.5
Coding Agent Index54.3
HLE49.167.7
GPQA93.8
SWE-Pro89.9
SWE-Atlas59.4
Terminal-Bench88.8
DeepSWE75.474.2
GDPval-AA1754.01846.2
Finance Agent58.9
MMMU-Pro87.7
MRCR98.1
Input Price (per 1M tokens)$1.25$4.00
Output Price (per 1M tokens)$4.25$20.0
Context Window1M1M
Benchmarks Published117

Muse Spark 1.3 vs Claude Opus 5.5 head-to-head charts

Muse Spark 1.3 leads 3 and Claude Opus 5.5 leads 2 of 5 shared benchmarks. Muse Spark 1.3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse Spark 1.3Claude Opus 5.5
Overall
66.8Muse Spark 1.3
64.5Claude Opus 5.5
ACB
62.6Muse Spark 1.3
61.7Claude Opus 5.5
HLE
49.1Muse Spark 1.3
67.7Claude Opus 5.5
DeepSWE
75.4Muse Spark 1.3
74.2Claude Opus 5.5
GDPval-AA
1754.0Muse Spark 1.3
1846.2Claude Opus 5.5
Muse Spark 1.3
Input$1.25
Output$4.25
Workload$2.10
Context1M
Claude Opus 5.5
Input$4.00
Output$20.0
Workload$8.00
Context1M

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

More Muse Spark 1.3 and Claude Opus 5.5 comparisons

Explore how Muse Spark 1.3 and Claude Opus 5.5 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.