whichLlmmodel
Back to Dashboard

Mistral AIMistral Small 4VSZ.ai (Zhipu AI)GLM-5.2

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

Our Take

We recommend Mistral Small 4 for practical local execution on standard developer hardware, or GLM-5.2 if you need peak reasoning and have the VRAM (or a cloud API) to host it. While GLM-5.2 offers frontier capability, its massive parameter size makes it extremely difficult to host locally. Choose Mistral Small 4 for standard local setups, or GLM-5.2 for peak reasoning.
▶WHY?
Benchmark Calculations & Evidence:
  • Model Size: GLM-5.2 is a massive 753B parameter model requiring heavy GPU infrastructure, while Mistral Small 4 is a 119B parameter model.
    • Was this recommendation helpful?
    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)8.2x cheaper
    $0.26Input: $0.15 | Output: $0.60
    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 (+20.0%)
    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 Small 4 vs GLM-5.2

    Mistral Small 4 is cheaper than GLM-5.2. Mistral Small 4 has a blended cost of $0.26/1M tokens, which is about 8.2x cheaper than GLM-5.2 at $2.15/1M tokens.

    For coding tasks, Mistral Small 4 scores 63.6% 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).

    Related Matchups

    Explore similar comparisons for Mistral Small 4 and GLM-5.2.

    Browse More Comparisons
    Mistral AIMistral Small 4
    VS
    OpenAIGPT-5.5
    Compare Specs
    Z.ai (Zhipu AI)GLM-5.2
    VS
    OpenAIGPT-5.6 Sol
    Compare Specs
    Mistral AIMistral Small 4
    VS
    OpenAIGPT-5.6 Terra
    Compare Specs

    Do you want to find a model for your constraints?

    Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.

    Open Model Finder