Comprehensive side-by-side LLM comparison
Nova Pro leads with 26.6% higher average benchmark score. Nova Pro offers 341.4K more tokens in context window than DeepSeek VL2. Nova Pro is $4805.50 cheaper per million tokens. Overall, Nova Pro is the stronger choice for coding tasks.
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K 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 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.
23 days newer
Nova Pro
Amazon
2024-11-20
DeepSeek VL2
DeepSeek
2024-12-13
Cost per million tokens (USD)
DeepSeek VL2
Nova Pro
Context window and performance specifications
Average performance across 37 common benchmarks
DeepSeek VL2
Nova Pro
Available providers and their performance metrics
DeepSeek VL2
Replicate
Nova Pro
DeepSeek VL2
Nova Pro
DeepSeek VL2
Nova Pro
Bedrock