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Phi-3.5-MoE Instruct vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 9.4% higher average benchmark score. Overall, Qwen2.5-Coder 32B Instruct is the stronger choice for coding tasks.
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Microsoft
Phi-3.5-MoE-instruct is a sparse mixture-of-experts model from Microsoft's Phi research team, released in August 2024 with 42 billion total parameters across 16 experts and approximately 6.6 billion active parameters per forward pass. The model applies Microsoft's small-data, high-quality training philosophy — developed across earlier Phi generations — to a MoE architecture, targeting reasoning quality comparable to much larger dense models at a fraction of the inference compute. Released under the MIT license, it was notable in the research community for demonstrating that MoE efficiency gains could be realized at smaller total parameter counts than typical large-scale MoE deployments.
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Alibaba / Qwen
Qwen2.5-Coder-32B-Instruct is a 32-billion-parameter code-specialized model from Alibaba, released in November 2024 and trained on a large corpus spanning 92 programming languages including C, Python, Java, Rust, and domain-specific languages. The model was designed to provide competitive code generation, repair, and reasoning capabilities as an open-weight alternative for developers building code assistant tools and automated review pipelines. Its 128K context window enables whole-file and multi-file code comprehension, making it particularly suited for complex repository-level tasks.
2 months newer
Phi-3.5-MoE Instruct
Microsoft
2024-08-22
Qwen2.5-Coder 32B Instruct
Alibaba / Qwen
2024-11-12
Average performance across 1 common benchmarks
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Phi-3.5-MoE Instruct
Average Score:80.8%
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Qwen2.5-Coder 32B Instruct
Average Score:90.2%(+9.4%)
Performance comparison across key benchmark categories
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Phi-3.5-MoE Instruct
Coding80.8%
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Qwen2.5-Coder 32B Instruct
Coding90.2%(+9.4%)
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
0 providers
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Phi-3.5-MoE Instruct
Avg Score:80.8%
Providers:0
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Qwen2.5-Coder 32B Instruct
Avg Score:90.2%(+9.4%)
Providers:0