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Alibaba Cloud (Qwen) Qwen3.7-Max VS Meta Muse Spark 1.1

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Qwen3.7-Max is the premium intelligence choice, scoring 0.9% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Muse Spark 1.1 is 1.9x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Muse Spark 1.1 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Qwen3.7-Max fully justifies the cost.
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Model Specs

Qwen3.7-Max

Benchmarks & Scores

Coding (swe-bench-pro)
60.6%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+1.2%)
92.4%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
$3.75Input: $2.50 | Output: $7.50
Context Window
1M tokens
Model Specs

Muse Spark 1.1

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+0.9%)
61.5%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
91.16%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)1.9x cheaper
$2.00Input: $1.25 | Output: $4.25
Context WindowLarger
1.05M tokens

Frequently Asked Questions about Qwen3.7-Max vs Muse Spark 1.1 comparison

Muse Spark 1.1 is cheaper than Qwen3.7-Max. Muse Spark 1.1 has a blended cost of $2.00/1M tokens, which is about 1.9x cheaper than Qwen3.7-Max at $3.75/1M tokens.

Muse Spark 1.1 is better for coding tasks on this benchmark. It scores 61.5% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to Qwen3.7-Max which scores 60.6%.