Alibaba Cloud (Qwen) Qwen3.7-Max VS OpenAI GPT-5.6 Luna
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Luna is the premium intelligence choice, scoring 2.1% higher on coding benchmarks. It also maintains strong cost efficiency. 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 Luna 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)Winner (+0.1%)
92.4%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$3.75Input: $2.50 | Output: $7.50Context Window
1M tokensModel Specs
GPT-5.6 Luna
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+2.1%)
62.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
92.3%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)1.7x cheaper
$2.25Input: $1.00 | Output: $6.00Context WindowLarger
1.05M tokensFrequently Asked Questions about Qwen3.7-Max vs GPT-5.6 Luna comparison
GPT-5.6 Luna is cheaper than Qwen3.7-Max. GPT-5.6 Luna has a blended cost of $2.25/1M tokens, which is about 1.7x cheaper than Qwen3.7-Max at $3.75/1M tokens.
GPT-5.6 Luna is better for coding tasks on this benchmark. It scores 62.7% 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 Luna.