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Codestral-22B vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 4.4% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). 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.
9 months newer
Codestral-22B
Mistral AI
2024-05-29
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Average performance across 14 common benchmarks
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Codestral-22B
Average Score:32.9%
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QwQ-32B
Average Score:37.3%(+4.4%)
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Knowledge Cutoff
Training data recency comparison
QwQ-32B
2024-11-28
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Codestral-22B
0 providers
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QwQ-32B
0 providers
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Codestral-22B
Avg Score:32.9%
Providers:0
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QwQ-32B
Avg Score:37.3%(+4.4%)
Providers:0