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Phi-3.5-MoE-instruct vs Qwen2.5 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 32B Instruct leads with 4.9% higher average benchmark score. 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 32B was created as a larger variant in the Qwen 2.5 family, designed to deliver enhanced capabilities with 32 billion parameters. Built to serve applications requiring stronger reasoning and generation quality, it represents a powerful option for demanding language understanding tasks.
27 days newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Qwen2.5 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Average performance across 11 common benchmarks
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Phi-3.5-MoE-instruct
Average Score:72.2%
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Qwen2.5 32B Instruct
Average Score:77.1%(+4.9%)
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 32B Instruct
0 providers
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Phi-3.5-MoE-instruct
Avg Score:72.2%
Providers:0
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Qwen2.5 32B Instruct
Avg Score:77.1%(+4.9%)
Providers:0