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GoogleGemini 3.1 ProVSMistral AIMistral Small 4

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

Our Take

We recommend Gemini 3.1 Pro if you need peak intelligence for complex complex codebases, multi-file repositories, and architectural planning, or the 17.1x cheaper Mistral Small 4 if your workflow is limited to scripting single-file apps or clearly defined functions. While Gemini 3.1 Pro holds a major reasoning advantage, Mistral Small 4 is optimized for high-volume budget pipelines. Choose Gemini 3.1 Pro for architectural codebase planning, or Mistral Small 4 to maximize your budget for basic scripts.
WHY?
Benchmark Calculations & Evidence:
  • Coding Evaluation: Gemini 3.1 Pro was evaluated on SWE-bench Pro (scoring 54.2%), while Mistral Small 4 was evaluated on LiveCodeBench (scoring 63.6%).
  • Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Gemini 3.1 Pro scored 94.3%, while Mistral Small 4 scored 71.2%.
  • Cost Efficiency: Mistral Small 4 pricing ($0.15/M input, $0.6/M output) is 17.1x cheaper than Gemini 3.1 Pro ($2/M input, $12/M output).
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    Model Specs

    Gemini 3.1 Pro

    Benchmarks & Scores

    Coding (swe-bench-pro)
    54.2%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+23.1%)
    94.3%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $4.50Input: $2.00 | Output: $12.00
    Context WindowLarger
    1.05M tokens
    Model Specs

    Mistral Small 4

    Open SourceAPI Available

    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)17.1x cheaper
    $0.26Input: $0.15 | Output: $0.60
    Context Window
    262.14k tokens

    Frequently Asked Questions about Gemini 3.1 Pro vs Mistral Small 4

    Mistral Small 4 is cheaper than Gemini 3.1 Pro. Mistral Small 4 has a blended cost of $0.26/1M tokens, which is about 17.1x cheaper than Gemini 3.1 Pro at $4.50/1M tokens.

    For coding tasks, Gemini 3.1 Pro scores 54.2% 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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