Alibaba Cloud (Qwen)Qwen3.6-35B-A3BVSZ.ai (Zhipu AI)GLM-4.6
Our Take
We recommend Qwen3.6-35B-A3B for practical local execution on standard developer hardware, or GLM-4.6 if you need peak reasoning and have the VRAM (or a cloud API) to host it. While GLM-4.6 offers frontier capability, its massive parameter size makes it extremely difficult to host locally. Choose Qwen3.6-35B-A3B for standard local setups, or GLM-4.6 for peak reasoning.
▶WHY?
Benchmark Calculations & Evidence:
Model Size: GLM-4.6 is a massive 357B parameter model requiring heavy GPU infrastructure, while Qwen3.6-35B-A3B is a 35B parameter model.
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Benchmarks & Scores
Coding (swe-bench-pro)
49.5%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+3.1%)
86%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context WindowLarger
262.14k tokensFrequently Asked Questions about Qwen3.6-35B-A3B vs GLM-4.6
For coding tasks, Qwen3.6-35B-A3B scores 49.5% 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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