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DeepSeek-R1-0528 vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 4.8% higher average benchmark score. DeepSeek-R1-0528 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. 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.
3 months newer
Phi 4 Mini
Microsoft
2025-02-01
DeepSeek-R1-0528
DeepSeek
2025-05-28
Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
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DeepSeek-R1-0528
Average Score:31.0%
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Phi 4 Mini
Average Score:35.8%(+4.8%)
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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-R1-0528
3 providers
DeepInfra
Throughput: 45.04 tok/s
Latency: 0.61ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Novita
Throughput: 37.96 tok/s
Latency: 1.18ms
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DeepSeek-R1-0528
Avg Score:31.0%
Providers:3
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Phi 4 Mini
Avg Score:35.8%(+4.8%)
Providers:0