Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 4.0% higher average benchmark score. DeepSeek-R1-0528 offers 230.1K more tokens in context window than Phi 4. Phi 4 is $2.44 cheaper per million tokens. DeepSeek-R1-0528 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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.
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
5 months newer
Phi 4
Microsoft
2024-12-12
DeepSeek-R1-0528
DeepSeek
2025-05-28
Cost per million tokens (USD)
DeepSeek-R1-0528
Phi 4
Context window and performance specifications
Average performance across 26 common benchmarks
DeepSeek-R1-0528
Phi 4
Phi 4
2024-06-01
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita
DeepSeek-R1-0528
Phi 4
DeepSeek-R1-0528
Phi 4
Phi 4
DeepInfra