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Phi-3.5-MoE-instruct vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 1.2% higher average benchmark score. Qwen2.5-Coder 32B Instruct is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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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.
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Alibaba Cloud / Qwen Team
Qwen 2.5 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
27 days newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
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Phi-3.5-MoE-instruct
Average Score:75.8%(+1.2%)
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Qwen2.5-Coder 32B Instruct
Average Score:74.5%
Provider Availability & Performance
Available providers and their performance metrics
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Phi-3.5-MoE-instruct
0 providers
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Qwen2.5-Coder 32B Instruct
4 providers
DeepInfra
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Phi-3.5-MoE-instruct
Avg Score:75.8%(+1.2%)
Providers:0
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Qwen2.5-Coder 32B Instruct
Avg Score:74.5%
Providers:4