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DeepSeek R1 Zero vs Phi 4 Reasoning Plus
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 2.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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 Plus was created as an enhanced reasoning variant, designed to provide even deeper analytical capabilities within the Phi-4 family. Built to maximize reasoning quality while maintaining the efficiency benefits of small models, it represents the most capable reasoning-focused option in the Phi-4 series.
3 months newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Phi 4 Reasoning Plus
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%(+2.2%)
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Phi 4 Reasoning Plus
Average Score:67.8%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning Plus
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 Plus
0 providers
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DeepSeek R1 Zero
Avg Score:70.0%(+2.2%)
Providers:0
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Phi 4 Reasoning Plus
Avg Score:67.8%
Providers:0