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DeepSeek R1 Distill Qwen 14B vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 14B leads with 22.3% higher average benchmark score. Overall, DeepSeek R1 Distill Qwen 14B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-14B was developed as a mid-sized distilled variant based on Qwen, designed to balance reasoning capability with practical deployment considerations. Built to provide strong analytical performance while remaining accessible, it serves applications requiring reliable reasoning without flagship-scale resources.
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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.
5 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
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Average performance across 1 common benchmarks
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DeepSeek R1 Distill Qwen 14B
Average Score:59.1%(+22.3%)
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Phi-3.5-MoE-instruct
Average Score:36.8%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 14B
0 providers
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Phi-3.5-MoE-instruct
0 providers
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DeepSeek R1 Distill Qwen 14B
Avg Score:59.1%(+22.3%)
Providers:0
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Phi-3.5-MoE-instruct
Avg Score:36.8%
Providers:0