Alibaba Cloud (Qwen)Qwen3.7-MaxVSOpenAIGPT-5 mini
Our Take
We recommend Qwen3.7-Max if you need peak intelligence for reasoning and coding tasks, or the 5.5x cheaper GPT-5 mini to optimize your budget for high-volume pipelines. While Qwen3.7-Max holds a clear performance lead, it carries a heavy price premium. Choose Qwen3.7-Max for complex logic, or GPT-5 mini for budget efficiency.
▶WHY?
Benchmark Calculations & Evidence:
Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. Qwen3.7-Max scored 60.6%, while GPT-5 mini scored 45.7%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.7-Max scored 92.4%, while GPT-5 mini scored 81.6%.
Cost Efficiency: GPT-5 mini pricing ($0.25/M input, $2/M output) is 5.5x cheaper than Qwen3.7-Max ($2.5/M input, $7.5/M output).
Was this recommendation helpful?
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+14.9%)
60.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+10.8%)
92.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$3.75Input: $2.50 | Output: $7.50Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)
45.7%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
81.6%graduate-level science QA
Cost & Context
Cost (per 1M tokens)5.5x cheaper
$0.69Input: $0.25 | Output: $2.00Context Window
400k tokensFrequently Asked Questions about Qwen3.7-Max vs GPT-5 mini
GPT-5 mini is cheaper than Qwen3.7-Max. GPT-5 mini has a blended cost of $0.69/1M tokens, which is about 5.5x cheaper than Qwen3.7-Max at $3.75/1M tokens.
Qwen3.7-Max is better for coding tasks on this benchmark. It scores 60.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to GPT-5 mini which scores 45.7%.
Related Matchups
Explore similar comparisons for Qwen3.7-Max and GPT-5 mini.
Do you want to find a model for your constraints?
Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.