Alibaba Cloud (Qwen)Qwen3.7-MaxVSGoogleGemini 2.5 Pro
Our Take
We recommend Qwen3.7-Max for complex complex codebases, multi-file repositories, and architectural planning, or the 1.1x cheaper Gemini 2.5 Pro if your budget requires optimizing costs for very high-volume pipelines. While Qwen3.7-Max offers a clear reasoning advantage, it carries a moderate price premium. Choose Qwen3.7-Max for architectural codebase planning, or Gemini 2.5 Pro to save on API costs for simple scripts.
▶WHY?
Benchmark Calculations & Evidence:
Coding Evaluation: Qwen3.7-Max was evaluated on SWE-bench Pro (scoring 60.6%), while Gemini 2.5 Pro was evaluated on SWE-bench Verified (scoring 59.6%).
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.7-Max scored 92.4%, while Gemini 2.5 Pro scored 84.4%.
Cost Efficiency: Gemini 2.5 Pro pricing ($1.25/M input, $10/M output) is 1.1x cheaper than Qwen3.7-Max ($2.5/M input, $7.5/M output).
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Benchmarks & Scores
Coding (swe-bench-pro)
60.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+8.0%)
92.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$3.75Input: $2.50 | Output: $7.50Context Window
1.05M tokensBenchmarks & Scores
Coding (swe-bench-verified)
59.6%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)
84.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.1x cheaper
$3.44Input: $1.25 | Output: $10.00Context Window
1.05M tokensFrequently Asked Questions about Qwen3.7-Max vs Gemini 2.5 Pro
Gemini 2.5 Pro is cheaper than Qwen3.7-Max. Gemini 2.5 Pro has a blended cost of $3.44/1M tokens, which is about 1.1x cheaper than Qwen3.7-Max at $3.75/1M tokens.
For coding tasks, Qwen3.7-Max scores 60.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while Gemini 2.5 Pro scores 59.6% on swe-bench-verified (multi-file code and clearly defined tasks).
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