Magistral Small 2506 vs Qwen2.5 VL 32B Instruct Comparison
Comparing Magistral Small 2506 and Qwen2.5 VL 32B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
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.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen2.5 VL 32B Instruct has 9.5B more parameters than Magistral Small 2506, making it 39.6% larger.
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
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
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.
Jun 10, 2025
9 months ago
3mo newerFeb 28, 2025
1.0 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.
Jun 2025
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Outputs Comparison
Key Takeaways
Magistral Small 2506
View detailsMistral AI
Qwen2.5 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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