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Codestral-22B vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Codestral-22B leads with 3.7% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Codestral 22B was developed as a specialized coding model from Mistral AI, designed to excel at code generation, completion, and understanding tasks. Built with 22 billion parameters optimized for programming, it serves developers requiring advanced assistance with software development across multiple programming languages.
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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.
10 months newer
Codestral-22B
Mistral AI
2024-05-29
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
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Average performance across 2 common benchmarks
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Codestral-22B
Average Score:79.7%(+3.7%)
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Qwen2.5-Omni-7B
Average Score:76.0%
Provider Availability & Performance
Available providers and their performance metrics
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Codestral-22B
0 providers
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Qwen2.5-Omni-7B
0 providers
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Codestral-22B
Avg Score:79.7%(+3.7%)
Providers:0
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Qwen2.5-Omni-7B
Avg Score:76.0%
Providers:0