LLM Comparison

Qwen3.7 Max vs Muse Spark 1.1: benchmark scores, pricing & comparison.

Side-by-side Qwen3.7 Max vs Muse Spark 1.1 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 #9 vs #13AskClash overall scores 71.2 vs 68.1.
Pricing $2.50/$7.50 vs $1.25/$4.25Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAlibaba vs Meta.

Qwen3.7 Max vs Muse Spark 1.1 benchmark comparison

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

MetricQwen3.7 MaxMuse Spark 1.1
Overall Score71.268.1
Leaderboard Rank#9#13
RWT7.57.5
HLE41.462.1
GPQA92.4
IFEval94.3
SWE-bench80.4
SWE-Pro61.5
Terminal-Bench69.780.0
OSWorld80.8
MCP Atlas76.488.1
Finance Agent48.457.2
CharXiv88.4
Tau294.7
MRCR90.454.1
Input Price (per 1M tokens)$2.50$1.25
Output Price (per 1M tokens)$7.50$4.25
Context Window1M1M
Benchmarks Published1110

Qwen3.7 Max vs Muse Spark 1.1 head-to-head charts

Qwen3.7 Max leads 2 and Muse Spark 1.1 leads 4 of 7 shared benchmarks. Muse Spark 1.1 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.7 MaxMuse Spark 1.1
Overall
71.2Qwen3.7 Max
68.1Muse Spark 1.1
RWT
7.5Qwen3.7 Max
7.5Muse Spark 1.1
HLE
41.4Qwen3.7 Max
62.1Muse Spark 1.1
Terminal-Bench
69.7Qwen3.7 Max
80.0Muse Spark 1.1
MCP Atlas
76.4Qwen3.7 Max
88.1Muse Spark 1.1
Finance Agent
48.4Qwen3.7 Max
57.2Muse Spark 1.1
MRCR
90.4Qwen3.7 Max
54.1Muse Spark 1.1
Qwen3.7 Max
Input$2.50
Output$7.50
Workload$4.00
Context1M
Muse Spark 1.1
Input$1.25
Output$4.25
Workload$2.10
Context1M

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

More Qwen3.7 Max and Muse Spark 1.1 comparisons

Explore how Qwen3.7 Max and Muse Spark 1.1 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.