Model Comparison

Magistral Small 2506 vs Qwen2.5 VL 32B Instruct

Magistral Small 2506 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Magistral Small 2506 outperforms in 1 benchmarks (GPQA), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.

Magistral Small 2506 significantly outperforms across most benchmarks.

Thu Apr 16 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
Thu Apr 16 2026 • llm-stats.com
Mistral AI
Magistral Small 2506
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

9.5B diff

Qwen2.5 VL 32B Instruct has 9.5B more parameters than Magistral Small 2506, making it 39.6% larger.

Mistral AI
Magistral Small 2506
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
33.5Bparameters
24.0B
Magistral Small 2506
33.5B
Qwen2.5 VL 32B Instruct

Input Capabilities

Supported data types and modalities

Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas Magistral Small 2506 does not.

Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Magistral Small 2506

Text
Images
Audio
Video

Qwen2.5 VL 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.

Magistral Small 2506

Apache 2.0

Open weights

Qwen2.5 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.

Magistral Small 2506 is 3 months newer than Qwen2.5 VL 32B Instruct.

Magistral Small 2506

Jun 10, 2025

10 months ago

3mo newer
Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Qwen2.5 VL 32B Instruct's cutoff date is not specified.

We can confirm Magistral Small 2506's training data extends to 2025-06-01, but cannot make a direct comparison without Qwen2.5 VL 32B Instruct's cutoff date.

Magistral Small 2506

Jun 2025

Qwen2.5 VL 32B Instruct

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Outputs Comparison

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Key Takeaways

Mistral AI
Higher GPQA score (68.2% vs 46.0%)
Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Magistral Small 2506
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct

FAQ

Common questions about Magistral Small 2506 vs Qwen2.5 VL 32B Instruct

Magistral Small 2506 significantly outperforms across most benchmarks. Magistral Small 2506 is made by Mistral AI and Qwen2.5 VL 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. Qwen2.5 VL 32B Instruct scores DocVQA: 94.8%, Android Control Low_EM: 93.3%, HumanEval: 91.5%, ScreenSpot: 88.5%, MBPP: 84.0%.
Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.
Magistral Small 2506 is developed by Mistral AI and Qwen2.5 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.