Alibaba Cloud (Qwen)Qwen3.7-MaxVSOpenAIGPT-5.4 mini
Our Take
We recommend Qwen3.7-Max for its clear benchmark advantage, or the 2.2x cheaper GPT-5.4 mini only if your budget requires optimizing costs for very high-volume pipelines. While Qwen3.7-Max offers superior reasoning and coding, it carries a moderate price premium. Choose Qwen3.7-Max for quality, or GPT-5.4 mini for cost optimization.
▶WHY?
Benchmark Calculations & Evidence:
Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. Qwen3.7-Max scored 60.6%, while GPT-5.4 mini scored 54.4%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.7-Max scored 92.4%, while GPT-5.4 mini scored 87.5%.
Cost Efficiency: GPT-5.4 mini pricing ($0.75/M input, $4.5/M output) is 2.2x cheaper than Qwen3.7-Max ($2.5/M input, $7.5/M output).
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Benchmarks & Scores
Coding (swe-bench-pro)Winner (+6.2%)
60.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+4.9%)
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)
54.4%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
87.5%graduate-level science QA
Cost & Context
Cost (per 1M tokens)2.2x cheaper
$1.69Input: $0.75 | Output: $4.50Context Window
400k tokensFrequently Asked Questions about Qwen3.7-Max vs GPT-5.4 mini
GPT-5.4 mini is cheaper than Qwen3.7-Max. GPT-5.4 mini has a blended cost of $1.69/1M tokens, which is about 2.2x 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-5.4 mini which scores 54.4%.
Related Matchups
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