Model Comparison

GLM-5 vs Mistral Small 3.2 24B InstructWhich is better in 2026?

Comparing GLM-5 and Mistral Small 3.2 24B Instruct across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Mistral Small 3.2 24B Instruct — which is better?

GLM-5 (by Zhipu AI) and Mistral Small 3.2 24B Instruct (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose GLM-5 if…

  • you want the most recent training data — it shipped Feb 2026

Choose Mistral Small 3.2 24B Instruct if…

  • you are already invested in the Mistral AI ecosystem
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Mistral Small 3.2 24B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

720.4B diff

GLM-5 has 720.4B more parameters than Mistral Small 3.2 24B Instruct, making it 3052.5% larger.

Zhipu AI
GLM-5
744.0Bparameters
Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
744.0B
GLM-5
23.6B
Mistral Small 3.2 24B Instruct

Context Window

Maximum input and output token capacity

Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Mistral AI
Mistral Small 3.2 24B Instruct
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.2 24B Instruct supports multimodal inputs, whereas GLM-5 does not.

Mistral Small 3.2 24B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Mistral Small 3.2 24B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5

MIT

Open weights

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

GLM-5 is 8 months newer than Mistral Small 3.2 24B Instruct.

GLM-5

Feb 11, 2026

4 months ago

7mo newer
Mistral Small 3.2 24B Instruct

Jun 20, 2025

11 months ago

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while GLM-5's cutoff date is not specified.

We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

Mistral Small 3.2 24B Instruct

Oct 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Mistral AI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Mistral AI
Mistral Small 3.2 24B Instruct

FAQ

Common questions about GLM-5 vs Mistral Small 3.2 24B Instruct.

Which is better, GLM-5 or Mistral Small 3.2 24B Instruct?

GLM-5 (Zhipu AI) and Mistral Small 3.2 24B Instruct (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5 compare to Mistral Small 3.2 24B Instruct in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.

What are the context window sizes for GLM-5 and Mistral Small 3.2 24B Instruct?

GLM-5 supports 200K tokens and Mistral Small 3.2 24B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5 and Mistral Small 3.2 24B Instruct?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Mistral Small 3.2 24B Instruct?

GLM-5 is developed by Zhipu AI and Mistral Small 3.2 24B Instruct is developed by Mistral AI.

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