Model Comparison

Mistral Small 3.2 24B Instruct vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Mistral Small 3.2 24B Instruct outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 3 benchmarks (GPQA, MMLU-Pro, SimpleQA).

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Sun May 31 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

211.4B diff

Qwen3-235B-A22B-Instruct-2507 has 211.4B more parameters than Mistral Small 3.2 24B Instruct, making it 895.8% larger.

Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
23.6B
Mistral Small 3.2 24B Instruct
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).

Mistral AI
Mistral Small 3.2 24B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Sun May 31 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.2 24B Instruct supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 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

Qwen3-235B-A22B-Instruct-2507

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

Qwen3-235B-A22B-Instruct-2507

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 Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 1 month newer than Mistral Small 3.2 24B Instruct.

Mistral Small 3.2 24B Instruct

Jun 20, 2025

11 months ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

10 months ago

1mo newer

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Qwen3-235B-A22B-Instruct-2507'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 Qwen3-235B-A22B-Instruct-2507's cutoff date.

Mistral Small 3.2 24B Instruct

Oct 2023

Qwen3-235B-A22B-Instruct-2507

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Supports multimodal inputs
Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Higher GPQA score (77.5% vs 46.1%)
Higher MMLU-Pro score (83.0% vs 69.1%)
Higher SimpleQA score (54.3% vs 12.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral Small 3.2 24B Instruct
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507

FAQ

Common questions about Mistral Small 3.2 24B Instruct vs Qwen3-235B-A22B-Instruct-2507.

Which is better, Mistral Small 3.2 24B Instruct or Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Mistral Small 3.2 24B Instruct is made by Mistral AI and Qwen3-235B-A22B-Instruct-2507 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 Qwen3-235B-A22B-Instruct-2507 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%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

What are the context window sizes for Mistral Small 3.2 24B Instruct and Qwen3-235B-A22B-Instruct-2507?

Mistral Small 3.2 24B Instruct supports an unknown number of tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K 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 Qwen3-235B-A22B-Instruct-2507?

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

Who makes Mistral Small 3.2 24B Instruct and Qwen3-235B-A22B-Instruct-2507?

Mistral Small 3.2 24B Instruct is developed by Mistral AI and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.