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Codestral-22B vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 1.5% higher average benchmark score. 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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Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
6 months newer
Codestral-22B
Mistral AI
2024-05-29
Phi 4
Microsoft
2024-12-12
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Codestral-22B
Average Score:81.1%
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Phi 4
Average Score:82.6%(+1.5%)
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
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
1 providers
DeepInfra
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Codestral-22B
Avg Score:81.1%
Providers:0
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Phi 4
Avg Score:82.6%(+1.5%)
Providers:1