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

Gemini 1.5 Pro
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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.

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.

Gemini 1.5 Pro
2024-05-01

Nova Pro
Amazon
2024-11-20
6 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 1.5 Pro

Nova Pro
Performance Metrics
Context window and performance specifications

Gemini 1.5 Pro

Nova Pro
Average performance across 7 common benchmarks

Gemini 1.5 Pro

Nova Pro
Performance comparison across key benchmark categories

Gemini 1.5 Pro

Nova Pro
Gemini 1.5 Pro
2023-11-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Pro

Nova Pro
Bedrock

Gemini 1.5 Pro

Nova Pro