Comprehensive side-by-side LLM comparison
Nova Pro leads with 30.8% higher average benchmark score. Gemini 2.0 Flash offers 456.8K more tokens in context window than Nova Pro. Gemini 2.0 Flash is $3.50 cheaper per million tokens. Overall, Nova Pro is the stronger choice for coding tasks.
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 Google'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.
11 days newer
Nova Pro
Amazon
2024-11-20
Gemini 2.0 Flash
2024-12-01
Cost per million tokens (USD)
Gemini 2.0 Flash
Nova Pro
Context window and performance specifications
Average performance across 36 common benchmarks
Gemini 2.0 Flash
Nova Pro
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash
Nova Pro
Gemini 2.0 Flash
Nova Pro
Gemini 2.0 Flash
Nova Pro
Bedrock