Model Comparison

Mistral Small 3.2 24B Instruct vs Qwen3 VL 30B A3B Thinking

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Mistral Small 3.2 24B Instruct outperforms in 1 benchmarks (AI2D), while Qwen3 VL 30B A3B Thinking is better at 4 benchmarks (GPQA, MMLU, MMLU-Pro, SimpleQA).

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.

Tue Apr 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
Mistral AI
Mistral Small 3.2 24B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input tokens$0.20
Output tokens$0.99
Best providerNovita
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Model Size

Parameter count comparison

7.4B diff

Qwen3 VL 30B A3B Thinking has 7.4B more parameters than Mistral Small 3.2 24B Instruct, making it 31.4% larger.

Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
31.0Bparameters
23.6B
Mistral Small 3.2 24B Instruct
31.0B
Qwen3 VL 30B A3B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 30B A3B Thinking specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Thinking specifies output context (32,768 tokens).

Mistral AI
Mistral Small 3.2 24B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Mistral Small 3.2 24B Instruct and Qwen3 VL 30B A3B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

Qwen3 VL 30B A3B Thinking

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 VL 30B A3B Thinking

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 VL 30B A3B Thinking was released on 2025-09-22.

Qwen3 VL 30B A3B Thinking is 3 months newer than Mistral Small 3.2 24B Instruct.

Mistral Small 3.2 24B Instruct

Jun 20, 2025

10 months ago

Qwen3 VL 30B A3B Thinking

Sep 22, 2025

7 months ago

3mo newer

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Qwen3 VL 30B A3B Thinking'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 VL 30B A3B Thinking's cutoff date.

Mistral Small 3.2 24B Instruct

Oct 2023

Qwen3 VL 30B A3B Thinking

Outputs Comparison

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Key Takeaways

Higher AI2D score (92.9% vs 86.9%)
Alibaba Cloud / Qwen Team

Qwen3 VL 30B A3B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Higher GPQA score (74.4% vs 46.1%)
Higher MMLU score (87.6% vs 80.5%)
Higher MMLU-Pro score (80.5% vs 69.1%)
Higher SimpleQA score (23.9% vs 12.1%)

Detailed Comparison

FAQ

Common questions about Mistral Small 3.2 24B Instruct vs Qwen3 VL 30B A3B Thinking

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks. Mistral Small 3.2 24B Instruct is made by Mistral AI and Qwen3 VL 30B A3B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%. Qwen3 VL 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.
Mistral Small 3.2 24B Instruct supports an unknown number of tokens and Qwen3 VL 30B A3B Thinking supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Mistral Small 3.2 24B Instruct is developed by Mistral AI and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.