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Magistral Small 2506 vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Magistral Small 2506 leads with 22.2% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, Magistral Small 2506 is the stronger choice for coding tasks.
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Mistral AI
Magistral Small was created as an efficient reasoning-focused variant, designed to bring analytical capabilities to applications with tighter resource constraints. Built to balance problem-solving depth with practical deployment needs, it extends reasoning-enhanced AI to broader use cases.
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Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
3 months newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Magistral Small 2506
Mistral AI
2025-06-10
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Average performance across 1 common benchmarks
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Magistral Small 2506
Average Score:68.2%(+22.2%)
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Qwen2.5 VL 32B Instruct
Average Score:46.0%
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Knowledge Cutoff
Training data recency comparison
Magistral Small 2506
2025-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Magistral Small 2506
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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Magistral Small 2506
Avg Score:68.2%(+22.2%)
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:46.0%
Providers:0