Alibaba Cloud (Qwen)Qwen3.7-MaxVSZ.ai (Zhipu AI)GLM-4.6
Our Take
We recommend Qwen3.7-Max if you need peak intelligence for complex complex codebases, multi-file repositories, and architectural planning, or the 3.8x cheaper GLM-4.6 if your workflow is limited to multi-file code and clearly defined tasks. While Qwen3.7-Max holds a major reasoning advantage, GLM-4.6 is optimized for high-volume budget pipelines. Choose Qwen3.7-Max for architectural codebase planning, or GLM-4.6 to maximize your budget for basic scripts.
▶WHY?
Benchmark Calculations & Evidence:
Coding Evaluation: Qwen3.7-Max was evaluated on SWE-bench Pro (scoring 60.6%), while GLM-4.6 was evaluated on SWE-bench Verified (scoring 68%).
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.7-Max scored 92.4%, while GLM-4.6 scored 82.9%.
Cost Efficiency: GLM-4.6 pricing ($0.6/M input, $2.2/M output) is 3.8x 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 (+9.5%)
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-verified)
68%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)
82.9%graduate-level science QA
Cost & Context
Cost (per 1M tokens)3.8x cheaper
$1.00Input: $0.60 | Output: $2.20Context Window
202.75k tokensFrequently Asked Questions about Qwen3.7-Max vs GLM-4.6
GLM-4.6 is cheaper than Qwen3.7-Max. GLM-4.6 has a blended cost of $1.00/1M tokens, which is about 3.8x 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 GLM-4.6 scores 68% on swe-bench-verified (multi-file code and clearly defined tasks).
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