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Mistral Small 3.2 24B Instruct vs Qwen2.5 32B Instruct

Mistral Small 3.2 24B Instruct and Qwen2.5 32B Instruct are closely matched at 8.4 and 7.7 on the LLM Stats Score.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Mistral Small 3.2 24B Instruct and Qwen2.5 32B Instruct are closely matched on the overall LLM Stats Score at 8.4 and 7.7.

In the 4 individual benchmarks reported for both models, Qwen2.5 32B Instruct wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Mistral Small 3.2 24B Instruct

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

Choose Qwen2.5 32B Instruct

  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results

At a glance

The differences that matter most.

Core performance indexes
8.4
#294
7.7
#300
7.9
#295
7.1
#299
Cost, coverage & limits
Benchmark wins
1 of 4
3 of 4
Input price
$0.07 / M
— / M
Output price
$0.20 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Mistral Small 3.2 24B Instruct
Qwen2.5 32B Instruct
11.1#251
16.4#212
9.3#154
9.3#153
9.3#137
9.1#138
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for Mistral Small 3.2 24B Instruct · 18 for Qwen2.5 32B Instruct

4 shared

Mistral Small 3.2 24B Instruct outperforms in 1 benchmarks (MMLU-Pro), while Qwen2.5 32B Instruct is better at 3 benchmarks (GPQA, MATH, MMLU).

Qwen2.5 32B Instruct shows notably better performance in the majority of benchmarks.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

8.9B diff

Qwen2.5 32B Instruct has 8.9B more parameters than Mistral Small 3.2 24B Instruct, making it 37.7% larger.

Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
32.5Bparameters
23.6B
Mistral Small 3.2 24B Instruct
32.5B
Qwen2.5 32B Instruct

Context Window

Maximum input and output token capacity

Only Mistral Small 3.2 24B Instruct specifies input context (128,000 tokens). Only Mistral Small 3.2 24B Instruct specifies output context (128,000 tokens).

Mistral AI
Mistral Small 3.2 24B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input- tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Small 3.2 24B Instruct supports multimodal inputs, whereas Qwen2.5 32B 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 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Small 3.2 24B Instruct was released on 2025-06-20, while Qwen2.5 32B Instruct was released on 2024-09-19.

Mistral Small 3.2 24B Instruct is 9 months newer than Qwen2.5 32B Instruct.

Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.3 years ago

9mo newer
Qwen2.5 32B Instruct

Sep 19, 2024

2.1 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 32B 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 32B Instruct's cutoff date.

Mistral Small 3.2 24B Instruct

Oct 2023

Qwen2.5 32B Instruct

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Small 3.2 24B Instruct and Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.

Mistral Small 3.2 24B Instruct
✓ Preferred
Qwen2.5 32B Instruct
Open in Playground

FAQ

Common questions about Mistral Small 3.2 24B Instruct vs Qwen2.5 32B Instruct.

Which is better, Mistral Small 3.2 24B Instruct or Qwen2.5 32B Instruct?

Mistral Small 3.2 24B Instruct and Qwen2.5 32B Instruct are closely matched on the LLM Stats Score at 8.4 and 7.7. Mistral Small 3.2 24B Instruct is made by Mistral AI and Qwen2.5 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Small 3.2 24B Instruct compare to Qwen2.5 32B 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 32B Instruct scores GSM8k: 95.9%, HumanEval: 88.4%, HellaSwag: 85.2%, BBH: 84.5%, MBPP: 84.0%.

What are the context window sizes for Mistral Small 3.2 24B Instruct and Qwen2.5 32B Instruct?

Mistral Small 3.2 24B Instruct supports 128K tokens and Qwen2.5 32B 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 Mistral Small 3.2 24B Instruct and Qwen2.5 32B Instruct?

Key differences include LLM Stats Score (8.4 vs 7.7), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small 3.2 24B Instruct and Qwen2.5 32B Instruct?

Mistral Small 3.2 24B Instruct is developed by Mistral AI and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.