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Magistral Small 2506 vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 50.3% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, Qwen2.5-Omni-7B 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-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). 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.
2 months newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Magistral Small 2506
Mistral AI
2025-06-10
Average performance across 48 common benchmarks
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Magistral Small 2506
Average Score:5.3%
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Qwen2.5-Omni-7B
Average Score:55.5%(+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-Omni-7B
0 providers
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Magistral Small 2506
Avg Score:5.3%
Providers:0
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Qwen2.5-Omni-7B
Avg Score:55.5%(+50.3%)
Providers:0