Comprehensive side-by-side LLM comparison
Nova Pro leads with 14.7% higher average benchmark score. Nova Pro offers 337.9K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $2.63 cheaper per million tokens. Nova Pro supports multimodal inputs. Overall, Nova Pro is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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.
1 month newer
Nova Pro
Amazon
2024-11-20
DeepSeek-V3
DeepSeek
2024-12-25
Cost per million tokens (USD)
DeepSeek-V3
Nova Pro
Context window and performance specifications
Average performance across 43 common benchmarks
DeepSeek-V3
Nova Pro
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
Nova Pro
DeepSeek-V3
Nova Pro
DeepSeek-V3
Nova Pro
Bedrock