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Mistral AIMistral Large 3VSZ.ai (Zhipu AI)GLM-5.2

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

Our Take

We recommend GLM-5.2 for complex complex codebases, multi-file repositories, and architectural planning, or the 2.9x cheaper Mistral Large 3 if your budget requires optimizing costs for very high-volume pipelines. While GLM-5.2 offers a clear reasoning advantage, it carries a moderate price premium. Choose GLM-5.2 for architectural codebase planning, or Mistral Large 3 to save on API costs for simple scripts.
▶WHY?
Benchmark Calculations & Evidence:
  • Coding Evaluation: Mistral Large 3 was evaluated on LiveCodeBench (scoring 34.4%), while GLM-5.2 was evaluated on SWE-bench Pro (scoring 62.1%).
  • Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. GLM-5.2 scored 91.2%, while Mistral Large 3 scored 85.5%.
  • Cost Efficiency: Mistral Large 3 pricing ($0.5/M input, $1.5/M output) is 2.9x cheaper than GLM-5.2 ($1.4/M input, $4.4/M output).
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    Model Specs

    Mistral Large 3

    Open SourceAPI Available
    Website🤗HF

    Benchmarks & Scores

    Coding (live-code-bench)
    34.4%

    scripting single-file apps or clearly defined functions

    Reasoning (gpqa-diamond)
    85.5%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)2.9x cheaper
    $0.75Input: $0.50 | Output: $1.50
    Context Window
    262.14k tokens
    Model Specs

    GLM-5.2

    Open SourceAPI Available
    Website🤗HF

    Benchmarks & Scores

    Coding (swe-bench-pro)
    62.1%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+5.7%)
    91.2%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $2.15Input: $1.40 | Output: $4.40
    Context WindowLarger
    1.05M tokens
    Read our data collection methodology

    Frequently Asked Questions about Mistral Large 3 vs GLM-5.2

    Mistral Large 3 is cheaper than GLM-5.2. Mistral Large 3 has a blended cost of $0.75/1M tokens, which is about 2.9x cheaper than GLM-5.2 at $2.15/1M tokens.

    For coding tasks, Mistral Large 3 scores 34.4% on live-code-bench (scripting single-file apps or clearly defined functions), while GLM-5.2 scores 62.1% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).

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