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Magistral Small 2506 vs Qwen2.5 VL 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 7B Instruct leads with 50.3% higher average benchmark score. Qwen2.5 VL 7B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 7B Instruct is the stronger choice for coding tasks.
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Mistral AI
Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Magistral Small 2506
Mistral AI
2025-06-10
Average performance across 36 common benchmarks
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Magistral Small 2506
Average Score:7.0%
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Qwen2.5 VL 7B Instruct
Average Score:57.4%(+50.3%)
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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 7B Instruct
0 providers
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Magistral Small 2506
Avg Score:7.0%
Providers:0
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Qwen2.5 VL 7B Instruct
Avg Score:57.4%(+50.3%)
Providers:0