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DeepSeek R1 Zero vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 11.3% 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-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
3 months newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Phi 4 Mini Reasoning
Microsoft
2025-04-30
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Average performance across 2 common benchmarks
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DeepSeek R1 Zero
Average Score:84.6%(+11.3%)
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Phi 4 Mini Reasoning
Average Score:73.3%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Phi 4 Mini Reasoning
0 providers
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DeepSeek R1 Zero
Avg Score:84.6%(+11.3%)
Providers:0
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Phi 4 Mini Reasoning
Avg Score:73.3%
Providers:0