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Codestral-22B vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Codestral-22B leads with 25.7% 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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Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
11 months newer
Codestral-22B
Mistral AI
2024-05-29
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Average performance across 10 common benchmarks
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Codestral-22B
Average Score:46.1%(+25.7%)
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Phi 4 Mini Reasoning
Average Score:20.4%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Codestral-22B
0 providers
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Phi 4 Mini Reasoning
0 providers
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Codestral-22B
Avg Score:46.1%(+25.7%)
Providers:0
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Phi 4 Mini Reasoning
Avg Score:20.4%
Providers:0