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Magistral Small 2506 vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 46.5% higher average benchmark score. Qwen2-VL-72B-Instruct supports multimodal inputs. Overall, Qwen2-VL-72B-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-VL-72B-Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
9 months newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Magistral Small 2506
Mistral AI
2025-06-10
Average performance across 19 common benchmarks
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Magistral Small 2506
Average Score:13.3%
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Qwen2-VL-72B-Instruct
Average Score:59.8%(+46.5%)
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Knowledge Cutoff
Training data recency comparison
Qwen2-VL-72B-Instruct
2023-06-30
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-VL-72B-Instruct
0 providers
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Magistral Small 2506
Avg Score:13.3%
Providers:0
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Qwen2-VL-72B-Instruct
Avg Score:59.8%(+46.5%)
Providers:0