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DeepSeek R1 Zero vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 36.5% higher average benchmark score. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
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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 Zero
DeepSeek
2025-01-20
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Average performance across 1 common benchmarks
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DeepSeek R1 Zero
Average Score:73.3%(+36.5%)
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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 Zero
0 providers
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Phi-3.5-MoE-instruct
0 providers
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DeepSeek R1 Zero
Avg Score:73.3%(+36.5%)
Providers:0
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Phi-3.5-MoE-instruct
Avg Score:36.8%
Providers:0