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DeepSeek-R1-0528 vs Phi 4 Reasoning Plus
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 4.3% 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 Reasoning Plus is a language model developed by Microsoft. It achieves strong performance with an average score of 78.9% across 11 benchmarks. It excels particularly in FlenQA (97.9%), HumanEval+ (92.3%), IFEval (84.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
28 days newer
Phi 4 Reasoning Plus
Microsoft
2025-04-30
DeepSeek-R1-0528
DeepSeek
2025-05-28
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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DeepSeek-R1-0528
Average Score:43.7%(+4.3%)
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Phi 4 Reasoning Plus
Average Score:39.4%
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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-R1-0528
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:43.7%(+4.3%)
Providers:3
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Phi 4 Reasoning Plus
Avg Score:39.4%
Providers:0