Model Comparison

Mistral Small 3.2 24B Instruct vs Qwen2.5 72B InstructWhich is better in 2026?

Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

Verdict: Mistral Small 3.2 24B Instruct vs Qwen2.5 72B Instruct — which is better?

Mistral Small 3.2 24B Instruct (by Mistral AI) and Qwen2.5 72B Instruct (by Alibaba Cloud / Qwen Team) 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.

Mistral Small 3.2 24B Instruct outperforms in 0 benchmarks, while Qwen2.5 72B Instruct is better at 4 benchmarks (Arena Hard, GPQA, MATH, MMLU-Pro). Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

Choose Mistral Small 3.2 24B Instruct if…

  • you want the most recent training data — it shipped Jun 2025

Choose Qwen2.5 72B Instruct if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Mistral Small 3.2 24B Instruct outperforms in 0 benchmarks, while Qwen2.5 72B Instruct is better at 4 benchmarks (Arena Hard, GPQA, MATH, MMLU-Pro).

Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

49.1B diff

Qwen2.5 72B Instruct has 49.1B more parameters than Mistral Small 3.2 24B Instruct, making it 208.1% larger.

Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
23.6B
Mistral Small 3.2 24B Instruct
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

Mistral AI
Mistral Small 3.2 24B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.2 24B Instruct supports multimodal inputs, whereas Qwen2.5 72B Instruct 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.

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

Qwen2.5 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small 3.2 24B Instruct is licensed under Apache 2.0, while Qwen2.5 72B Instruct uses Qwen.

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

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Mistral Small 3.2 24B Instruct was released on 2025-06-20, while Qwen2.5 72B Instruct was released on 2024-09-19.

Mistral Small 3.2 24B Instruct is 9 months newer than Qwen2.5 72B Instruct.

Mistral Small 3.2 24B Instruct

Jun 20, 2025

11 months ago

9mo newer
Qwen2.5 72B Instruct

Sep 19, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Qwen2.5 72B Instruct'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 Qwen2.5 72B Instruct's cutoff date.

Mistral Small 3.2 24B Instruct

Oct 2023

Qwen2.5 72B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Higher Arena Hard score (81.2% vs 43.1%)
Higher GPQA score (49.0% vs 46.1%)
Higher MATH score (83.1% vs 69.4%)
Higher MMLU-Pro score (71.1% vs 69.1%)

Detailed Comparison

FAQ

Common questions about Mistral Small 3.2 24B Instruct vs Qwen2.5 72B Instruct.

Which is better, Mistral Small 3.2 24B Instruct or Qwen2.5 72B Instruct?

Qwen2.5 72B Instruct significantly outperforms across most benchmarks. Mistral Small 3.2 24B Instruct is made by Mistral AI and Qwen2.5 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Mistral Small 3.2 24B Instruct compare to Qwen2.5 72B Instruct in benchmarks?

Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

What are the context window sizes for Mistral Small 3.2 24B Instruct and Qwen2.5 72B Instruct?

Mistral Small 3.2 24B Instruct supports an unknown number of tokens and Qwen2.5 72B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Small 3.2 24B Instruct and Qwen2.5 72B Instruct?

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

Who makes Mistral Small 3.2 24B Instruct and Qwen2.5 72B Instruct?

Mistral Small 3.2 24B Instruct is developed by Mistral AI and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.