Comprehensive side-by-side LLM comparison
Nova Pro leads with 24.1% higher average benchmark score. Nova Pro offers 337.9K more tokens in context window than DeepSeek-R1-0528. DeepSeek-R1-0528 is $1.35 cheaper per million tokens. Nova Pro supports multimodal inputs. DeepSeek-R1-0528 is available on 3 providers. Overall, Nova Pro is the stronger choice for coding tasks.
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.
Amazon
Nova Pro is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 73.2% across 27 benchmarks. It excels particularly in ARC-C (94.8%), GSM8k (94.8%), DocVQA (93.5%). It supports a 600K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Amazon's latest advancement in AI technology.
6 months newer
Nova Pro
Amazon
2024-11-20
DeepSeek-R1-0528
DeepSeek
2025-05-28
Cost per million tokens (USD)
DeepSeek-R1-0528
Nova Pro
Context window and performance specifications
Average performance across 42 common benchmarks
DeepSeek-R1-0528
Nova Pro
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita
DeepSeek-R1-0528
Nova Pro
DeepSeek-R1-0528
Nova Pro
Nova Pro
Bedrock