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DeepSeek R1 Zero vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 40.3% higher average benchmark score. Overall, Phi 4 Mini is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
12 days newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Phi 4 Mini
Microsoft
2025-02-01
Average performance across 20 common benchmarks
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DeepSeek R1 Zero
Average Score:15.3%
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Phi 4 Mini
Average Score:55.5%(+40.3%)
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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:15.3%
Providers:0
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Phi 4 Mini
Avg Score:55.5%(+40.3%)
Providers:0