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Codestral-22B vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 44.1% 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
Codestral-22B is a language model developed by Mistral AI. It achieves strong performance with an average score of 65.9% across 7 benchmarks. It excels particularly in HumanEvalFIM-Average (91.6%), HumanEval (81.1%), MBPP (78.2%). Released in 2024, 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.
10 months newer
Codestral-22B
Mistral AI
2024-05-29
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Average performance across 50 common benchmarks
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Codestral-22B
Average Score:9.2%
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Qwen2.5-Omni-7B
Average Score:53.3%(+44.1%)
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:9.2%
Providers:0
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Qwen2.5-Omni-7B
Avg Score:53.3%(+44.1%)
Providers:0