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Codestral-22B vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Codestral-22B leads with 3.9% 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-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
2 months newer
Codestral-22B
Mistral AI
2024-05-29
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
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Average performance across 2 common benchmarks
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Codestral-22B
Average Score:79.7%(+3.9%)
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Phi-3.5-MoE-instruct
Average Score:75.8%
Provider Availability & Performance
Available providers and their performance metrics
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Codestral-22B
0 providers
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Phi-3.5-MoE-instruct
0 providers
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Codestral-22B
Avg Score:79.7%(+3.9%)
Providers:0
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Phi-3.5-MoE-instruct
Avg Score:75.8%
Providers:0