Alibaba Cloud (Qwen)Qwen3.7-MaxVSMoonshot AI (Kimi)Kimi K2.7 Code
Our Take
We recommend Qwen3.7-Max for its clear benchmark advantage, or the 2.2x cheaper Kimi K2.7 Code 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 Kimi K2.7 Code 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 Kimi K2.7 Code scored 58.6%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.7-Max scored 92.4%, while Kimi K2.7 Code scored 90%.
Cost Efficiency: Kimi K2.7 Code pricing ($0.95/M input, $4/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 (+2.0%)
60.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+2.4%)
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)
58.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
90%graduate-level science QA
Cost & Context
Cost (per 1M tokens)2.2x cheaper
$1.71Input: $0.95 | Output: $4.00Context Window
262.14k tokensFrequently Asked Questions about Qwen3.7-Max vs Kimi K2.7 Code
Kimi K2.7 Code is cheaper than Qwen3.7-Max. Kimi K2.7 Code has a blended cost of $1.71/1M 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 Kimi K2.7 Code which scores 58.6%.
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