Alibaba Cloud (Qwen) Qwen3.7-Max VS Meta Muse Spark 1.1
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: $7.50Context Window
1M tokensModel 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: $4.25Context WindowLarger
1.05M tokensFrequently 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%.
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