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DeepSeek R1 Zero vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 5.0% 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 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
3 months newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Phi 4 Reasoning
Microsoft
2025-04-30
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Average performance across 3 common benchmarks
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DeepSeek R1 Zero
Average Score:70.0%(+5.0%)
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Phi 4 Reasoning
Average Score:65.0%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning
2025-03-01
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 Reasoning
0 providers
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DeepSeek R1 Zero
Avg Score:70.0%(+5.0%)
Providers:0
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Phi 4 Reasoning
Avg Score:65.0%
Providers:0