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Magistral Small 2506 vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Magistral Small 2506 leads with 37.4% higher average benchmark score. Qwen2.5-Omni-7B 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-Omni 7B was created as a multimodal model supporting text, audio, and other modalities, designed to provide integrated understanding across diverse input types. Built with 7 billion parameters for efficient omni-modal processing, it extends AI capabilities beyond traditional text-only or vision-language boundaries.
2 months newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
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%(+37.4%)
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Qwen2.5-Omni-7B
Average Score:30.8%
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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:68.2%(+37.4%)
Providers:0
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Qwen2.5-Omni-7B
Avg Score:30.8%
Providers:0