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

DeepSeek-V3.1
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%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. 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.

Nova Lite
Amazon
Nova Lite is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 70.7% across 27 benchmarks. It excels particularly in GSM8k (94.5%), ARC-C (92.4%), DocVQA (92.4%). It supports a 302K 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 Lite
Amazon
2024-11-20

DeepSeek-V3.1
DeepSeek
2025-01-10
1 month newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3.1

Nova Lite
Performance Metrics
Context window and performance specifications

DeepSeek-V3.1

Nova Lite
Performance comparison across key benchmark categories

DeepSeek-V3.1

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

DeepSeek-V3.1
DeepInfra
Novita

Nova Lite
Bedrock

DeepSeek-V3.1

Nova Lite