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Alibaba Cloud (Qwen)Qwen3.6-27BVSMistral AIMistral Small 4

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

Our Take

Both models are open-source. We recommend Qwen3.6-27B over Mistral Small 4 because it holds a clear reasoning lead. Choose Qwen3.6-27B for offline data control and complex codebases, multi-file repositories, and architectural planning, or Mistral Small 4 only if you prefer using its managed API endpoints for scripting single-file apps or clearly defined functions.
▶WHY?
Benchmark Calculations & Evidence:
  • Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.6-27B scored 87.8%, while Mistral Small 4 scored 71.2% (+16.6% gap).
  • Coding Performance: Evaluated on different benchmarks. Qwen3.6-27B scored 53.5% on SWE-bench Pro (complex codebases, multi-file repositories, and architectural planning), while Mistral Small 4 scored 63.6% on LiveCodeBench (scripting single-file apps or clearly defined functions).
  • Hosting Model: Qwen3.6-27B runs locally for $0 API costs, while Mistral Small 4 is hosted via its managed API endpoints.
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    Model Specs

    Qwen3.6-27B

    Open Source
    🤗HF

    Benchmarks & Scores

    Coding (swe-bench-pro)
    53.5%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+16.6%)
    87.8%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    Self HostLocal execution (zero API fees)
    Context Window
    262.14k tokens
    Model Specs

    Mistral Small 4

    Open SourceAPI Available
    Website🤗HF

    Benchmarks & Scores

    Coding (live-code-bench)
    63.6%

    scripting single-file apps or clearly defined functions

    Reasoning (gpqa-diamond)
    71.2%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $0.26Input: $0.15 | Output: $0.60
    Context Window
    262.14k tokens
    Read our data collection methodology

    Frequently Asked Questions about Qwen3.6-27B vs Mistral Small 4

    For coding tasks, Qwen3.6-27B scores 53.5% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while Mistral Small 4 scores 63.6% on live-code-bench (scripting single-file apps or clearly defined functions).

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