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Mistral AIMistral Small 4VSOpenAIGPT-5.4 mini

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

Our Take

We recommend GPT-5.4 mini if you need peak intelligence for complex complex codebases, multi-file repositories, and architectural planning, or the 6.4x cheaper Mistral Small 4 if your workflow is limited to scripting single-file apps or clearly defined functions. While GPT-5.4 mini holds a major reasoning advantage, Mistral Small 4 is optimized for high-volume budget pipelines. Choose GPT-5.4 mini for architectural codebase planning, or Mistral Small 4 to maximize your budget for basic scripts.
WHY?
Benchmark Calculations & Evidence:
  • Coding Evaluation: Mistral Small 4 was evaluated on LiveCodeBench (scoring 63.6%), while GPT-5.4 mini was evaluated on SWE-bench Pro (scoring 54.4%).
  • Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. GPT-5.4 mini scored 87.5%, while Mistral Small 4 scored 71.2%.
  • Cost Efficiency: Mistral Small 4 pricing ($0.15/M input, $0.6/M output) is 6.4x cheaper than GPT-5.4 mini ($0.75/M input, $4.5/M output).
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    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)6.4x cheaper
    $0.26Input: $0.15 | Output: $0.60
    Context Window
    262.14k tokens
    Model Specs

    GPT-5.4 mini

    Benchmarks & Scores

    Coding (swe-bench-pro)
    54.4%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+16.3%)
    87.5%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $1.69Input: $0.75 | Output: $4.50
    Context WindowLarger
    400k tokens

    Frequently Asked Questions about Mistral Small 4 vs GPT-5.4 mini

    Mistral Small 4 is cheaper than GPT-5.4 mini. Mistral Small 4 has a blended cost of $0.26/1M tokens, which is about 6.4x cheaper than GPT-5.4 mini at $1.69/1M tokens.

    For coding tasks, Mistral Small 4 scores 63.6% on live-code-bench (scripting single-file apps or clearly defined functions), while GPT-5.4 mini scores 54.4% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).

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