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Codestral-22B vs DeepSeek R1 Distill Qwen 32B
Comprehensive side-by-side LLM comparison
Codestral-22B leads with 14.9% higher average benchmark score. Overall, Codestral-22B 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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DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
7 months newer
Codestral-22B
Mistral AI
2024-05-29
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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Codestral-22B
Average Score:41.9%(+14.9%)
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DeepSeek R1 Distill Qwen 32B
Average Score:27.0%
Provider Availability & Performance
Available providers and their performance metrics
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Codestral-22B
0 providers
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DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
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Codestral-22B
Avg Score:41.9%(+14.9%)
Providers:0
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DeepSeek R1 Distill Qwen 32B
Avg Score:27.0%
Providers:1