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DeepSeek R1 Zero vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 48.1% 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 was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
12 days newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Phi 4 Mini
Microsoft
2025-02-01
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Average performance across 1 common benchmarks
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DeepSeek R1 Zero
Average Score:73.3%(+48.1%)
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Phi 4 Mini
Average Score:25.2%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
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
0 providers
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DeepSeek R1 Zero
Avg Score:73.3%(+48.1%)
Providers:0
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Phi 4 Mini
Avg Score:25.2%
Providers:0