LLM Comparison

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

Side-by-side Claude Opus 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 #5 vs #24AskClash overall scores 75.5 vs 63.3.
Pricing $5.00/$25.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightsAnthropic vs Meta.

Claude Opus 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 Opus 5Muse Spark 1.3 Max
Overall Score75.563.3
Leaderboard Rank#5#24
ACB70.562.6
RWT9.07.5
Coding Agent Index59.7
HLE64.748.7
GPQA93.293.5
SWE-bench96.0
SWE-Pro79.2
SWE-Atlas62.1
DeepSWE73.6
GDPval-AA1861.01674.1
MCP Atlas85.8
Finance Agent58.660.0
MMMU-Pro84.7
ARC-AGI 290.4
Input Price (per 1M tokens)$5.00
Output Price (per 1M tokens)$25.0
Context Window1M1M
Benchmarks Published158

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

Claude Opus 5 leads 5 and Muse Spark 1.3 Max leads 2 of 7 shared benchmarks. Charts show only benchmarks both models publish.

Claude Opus 5Muse Spark 1.3 Max
Overall
75.5Claude Opus 5
63.3Muse Spark 1.3 Max
ACB
70.5Claude Opus 5
62.6Muse Spark 1.3 Max
RWT
9.0Claude Opus 5
7.5Muse Spark 1.3 Max
HLE
64.7Claude Opus 5
48.7Muse Spark 1.3 Max
GPQA
93.2Claude Opus 5
93.5Muse Spark 1.3 Max
GDPval-AA
1861.0Claude Opus 5
1674.1Muse Spark 1.3 Max
Finance Agent
58.6Claude Opus 5
60.0Muse Spark 1.3 Max
Claude Opus 5
Input$5.00
Output$25.0
Workload$10
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 Opus 5 and Muse Spark 1.3 Max comparisons

Explore how Claude Opus 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.