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GoogleGemma 4 31BVSOpenAIGPT-5 mini

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

Our Take

We recommend Gemma 4 31B over GPT-5 mini because it holds a clear reasoning lead. Choose Gemma 4 31B for offline data control and scripting single-file apps or clearly defined functions, or GPT-5 mini only if you prefer using a cloud-hosted API setup for complex codebases, multi-file repositories, and architectural planning.
▶WHY?
Benchmark Calculations & Evidence:
  • Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Gemma 4 31B scored 84.3%, while GPT-5 mini scored 81.6% (+2.7% gap).
  • Coding Performance: Evaluated on different benchmarks. Gemma 4 31B scored 80% on LiveCodeBench (scripting single-file apps or clearly defined functions), while GPT-5 mini scored 45.7% on SWE-bench Pro (complex codebases, multi-file repositories, and architectural planning).
  • Hosting Model: Gemma 4 31B runs locally for $0 API costs, while GPT-5 mini is hosted via a cloud-hosted API setup.
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    Model Specs

    Gemma 4 31B

    Open Source
    🤗HF

    Benchmarks & Scores

    Coding (live-code-bench)
    80%

    scripting single-file apps or clearly defined functions

    Reasoning (gpqa-diamond)Winner (+2.7%)
    84.3%

    graduate-level science QA

    Cost & Context

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

    GPT-5 mini

    Website

    Benchmarks & Scores

    Coding (swe-bench-pro)
    45.7%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)
    81.6%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $0.69Input: $0.25 | Output: $2.00
    Context WindowLarger
    400k tokens
    Read our data collection methodology

    Frequently Asked Questions about Gemma 4 31B vs GPT-5 mini

    For coding tasks, Gemma 4 31B scores 80% on live-code-bench (scripting single-file apps or clearly defined functions), while GPT-5 mini scores 45.7% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).

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