Alibaba Cloud (Qwen)Qwen3.6-27BVSZ.ai (Zhipu AI)GLM-5
Our Take
We recommend Qwen3.6-27B for practical local execution on standard developer hardware, or GLM-5 if you need peak reasoning and have the VRAM (or a cloud API) to host it. While GLM-5 offers frontier capability, its massive parameter size makes it extremely difficult to host locally. Choose Qwen3.6-27B for standard local setups, or GLM-5 for peak reasoning.
▶WHY?
Benchmark Calculations & Evidence:
Model Size: GLM-5 is a massive 754B parameter model requiring heavy GPU infrastructure, while Qwen3.6-27B is a 27B parameter model.
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Benchmarks & Scores
Coding (swe-bench-pro)
53.5%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+1.8%)
87.8%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context WindowLarger
262.14k tokensFrequently Asked Questions about Qwen3.6-27B vs GLM-5
For coding tasks, Qwen3.6-27B scores 53.5% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while GLM-5 scores 77.8% on swe-bench-verified (multi-file code and clearly defined tasks).
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