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Phi-3.5-MoE-instruct vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 14B Instruct leads with 2.9% 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 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
27 days newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Average performance across 9 common benchmarks
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Phi-3.5-MoE-instruct
Average Score:69.9%
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Qwen2.5 14B Instruct
Average Score:72.8%(+2.9%)
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 14B Instruct
0 providers
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Phi-3.5-MoE-instruct
Avg Score:69.9%
Providers:0
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Qwen2.5 14B Instruct
Avg Score:72.8%(+2.9%)
Providers:0