Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Nova Pro
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.

Nova Pro
Amazon
2024-11-20

DeepSeek-R1
DeepSeek
2025-01-20
2 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-R1

Nova Pro
Performance Metrics
Context window and performance specifications

DeepSeek-R1

Nova Pro
Average performance across 4 common benchmarks

DeepSeek-R1

Nova Pro
Performance comparison across key benchmark categories

DeepSeek-R1

Nova Pro
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek

Nova Pro
Bedrock

DeepSeek-R1

Nova Pro