Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 3.4% higher average benchmark score. DeepSeek-V3.1 offers 65.5K more tokens in context window than DeepSeek-R1-0528. DeepSeek-V3.1 is $1.38 cheaper per million tokens. 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.
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 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.
4 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
DeepSeek-R1-0528
DeepSeek
2025-05-28
Cost per million tokens (USD)
DeepSeek-R1-0528
DeepSeek-V3.1
Context window and performance specifications
Average performance across 15 common benchmarks
DeepSeek-R1-0528
DeepSeek-V3.1
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita
DeepSeek-R1-0528
DeepSeek-V3.1
DeepSeek-R1-0528
DeepSeek-V3.1
DeepSeek-V3.1
DeepInfra
Novita