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Alibaba Cloud (Qwen)Qwen3.7-MaxVSMistral AIMistral Small 4

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

Our Take

We recommend Qwen3.7-Max if you need peak intelligence for complex complex codebases, multi-file repositories, and architectural planning, or the 14.3x cheaper Mistral Small 4 if your workflow is limited to scripting single-file apps or clearly defined functions. While Qwen3.7-Max holds a major reasoning advantage, Mistral Small 4 is optimized for high-volume budget pipelines. Choose Qwen3.7-Max for architectural codebase planning, or Mistral Small 4 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 Mistral Small 4 was evaluated on LiveCodeBench (scoring 63.6%).
  • Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.7-Max scored 92.4%, while Mistral Small 4 scored 71.2%.
  • Cost Efficiency: Mistral Small 4 pricing ($0.15/M input, $0.6/M output) is 14.3x cheaper than Qwen3.7-Max ($2.5/M input, $7.5/M output).
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    Model Specs

    Qwen3.7-Max

    Website

    Benchmarks & Scores

    Coding (swe-bench-pro)
    60.6%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+21.2%)
    92.4%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $3.75Input: $2.50 | Output: $7.50
    Context WindowLarger
    1.05M 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)14.3x cheaper
    $0.26Input: $0.15 | Output: $0.60
    Context Window
    262.14k tokens
    Read our data collection methodology

    Frequently Asked Questions about Qwen3.7-Max vs Mistral Small 4

    Mistral Small 4 is cheaper than Qwen3.7-Max. Mistral Small 4 has a blended cost of $0.26/1M tokens, which is about 14.3x 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 Mistral Small 4 scores 63.6% on live-code-bench (scripting single-file apps or clearly defined functions).

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