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Alibaba Cloud (Qwen)Qwen3.6-35B-A3BVSZ.ai (Zhipu AI)GLM-4.6

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

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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    Model Specs

    Qwen3.6-35B-A3B

    Open Source

    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 tokens
    Model Specs

    GLM-4.6

    Open SourceAPI Available

    Benchmarks & 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)
    $1.00Input: $0.60 | Output: $2.20
    Context Window
    202.75k tokens

    Frequently 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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