Which is better: Muse Wonder or Qwen3.7 Max?

Verdict: Muse Wonder ranks higher (#11 vs #36) and wins 3 of 3 shared benchmarks; Qwen3.7 Max costs less ($2.50/$7.50 vs $4.00/$20.0 per 1M tokens). AskClash compares Muse Wonder and Qwen3.7 Max side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

How do Muse Wonder and Qwen3.7 Max compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Muse Wonder and Qwen3.7 Max when publicly disclosed.

LLM Comparison

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

Side-by-side Muse Wonder vs Qwen3.7 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.

Verdict: Muse Wonder ranks higher (#11 vs #36) and wins 3 of 3 shared benchmarks; Qwen3.7 Max costs less ($2.50/$7.50 vs $4.00/$20.0 per 1M tokens).

Open live leaderboard Muse Wonder model page Qwen3.7 Max model page

Rank #11 vs #36AskClash overall scores 64.7 vs 51.9.

Pricing $4.00/$20.0 vs $2.50/$7.50Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryMeta vs Alibaba.

Muse Wonder vs Qwen3.7 Max benchmark comparison

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

Metric	Muse Wonder	Qwen3.7 Max
Overall Score	64.7	51.9
Leaderboard Rank	#11	#36
ACB	62.3	—
RWT	—	7.5
HLE	50.1	41.4
GPQA	—	92.4
IFEval	—	94.3
SWE-bench	—	80.4
Terminal-Bench	52.0	—
DeepSWE	78.8	—
GDPval-AA	1770.3	1546.0
MCP Atlas	—	76.4
Finance Agent	56.6	48.4
Tau2	—	94.7
MRCR	—	90.4
Input Price (per 1M tokens)	$4.00	$2.50
Output Price (per 1M tokens)	$20.0	$7.50
Context Window	1M	1M
Benchmarks Published	9	8

Muse Wonder vs Qwen3.7 Max head-to-head charts

Muse Wonder leads 4 and Qwen3.7 Max leads 0 of 4 shared benchmarks. Qwen3.7 Max is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse WonderQwen3.7 Max

Overall

64.7Muse Wonder

51.9Qwen3.7 Max

HLE

50.1Muse Wonder

41.4Qwen3.7 Max

GDPval-AA

1770.3Muse Wonder

1546.0Qwen3.7 Max

Finance Agent

56.6Muse Wonder

48.4Qwen3.7 Max

Muse Wonder

Input$4.00

Output$20.0

Workload$8.00

Context1M

Qwen3.7 Max

Input$2.50

Output$7.50

Workload$4.00

Context1M

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

More Muse Wonder and Qwen3.7 Max comparisons

Explore how Muse Wonder and Qwen3.7 Max stack up against other top-ranked LLMs.

Claude Opus 5.5 vs Muse Wonder Claude Opus 5.5 vs Qwen3.7 Max Claude Fable 5.1 vs Muse Wonder Claude Fable 5.1 vs Qwen3.7 Max Claude Sonnet 5.5 vs Muse Wonder Claude Sonnet 5.5 vs Qwen3.7 Max Claude Opus 5 vs Muse Wonder Claude Opus 5 vs Qwen3.7 Max Claude Fable 5 vs Muse Wonder Claude Fable 5 vs Qwen3.7 Max

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.