Model Comparison

Magistral Small 2506 vs Qwen2.5 VL 72B Instruct

Comparing Magistral Small 2506 and Qwen2.5 VL 72B Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Magistral Small 2506 and Qwen2.5 VL 72B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 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 72B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

48.0B diff

Qwen2.5 VL 72B Instruct has 48.0B more parameters than Magistral Small 2506, making it 200.0% larger.

Mistral AI
Magistral Small 2506
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
72.0Bparameters
24.0B
Magistral Small 2506
72.0B
Qwen2.5 VL 72B Instruct

Input Capabilities

Supported data types and modalities

Qwen2.5 VL 72B Instruct supports multimodal inputs, whereas Magistral Small 2506 does not.

Qwen2.5 VL 72B 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 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Magistral Small 2506 is licensed under Apache 2.0, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.

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

Magistral Small 2506

Apache 2.0

Open weights

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.

Magistral Small 2506 is 5 months newer than Qwen2.5 VL 72B Instruct.

Magistral Small 2506

Jun 10, 2025

10 months ago

4mo newer
Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Qwen2.5 VL 72B 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 72B Instruct's cutoff date.

Magistral Small 2506

Jun 2025

Qwen2.5 VL 72B Instruct

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Outputs Comparison

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Key Takeaways

Mistral AI
Alibaba Cloud / Qwen Team

Qwen2.5 VL 72B 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 72B Instruct

FAQ

Common questions about Magistral Small 2506 vs Qwen2.5 VL 72B Instruct

Magistral Small 2506 (Mistral AI) and Qwen2.5 VL 72B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%.
Key differences include multimodal support (no vs yes), licensing (Apache 2.0 vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.
Magistral Small 2506 is developed by Mistral AI and Qwen2.5 VL 72B Instruct is developed by Alibaba Cloud / Qwen Team.