Alibaba Cloud (Qwen) Qwen3.7-Max VS OpenAI GPT-5.6 Sol
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Sol is the premium intelligence choice, scoring 4.0% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Qwen3.7-Max is 3.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Qwen3.7-Max offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.6 Sol fully justifies the cost.
Was this recommendation helpful?
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)
92.4%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)3.0x cheaper
$3.75Input: $2.50 | Output: $7.50Context Window
1M tokensModel Specs
GPT-5.6 Sol
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+4.0%)
64.6%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+2.2%)
94.6%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$11.25Input: $5.00 | Output: $30.00Context WindowLarger
1.05M tokensFrequently Asked Questions about Qwen3.7-Max vs GPT-5.6 Sol comparison
Qwen3.7-Max is cheaper than GPT-5.6 Sol. Qwen3.7-Max has a blended cost of $3.75/1M tokens, which is about 3.0x cheaper than GPT-5.6 Sol at $11.25/1M tokens.
GPT-5.6 Sol is better for coding tasks on this benchmark. It scores 64.6% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to Qwen3.7-Max which scores 60.6%.
Related Matchups
Explore similar comparisons for Qwen3.7-Max and GPT-5.6 Sol.