Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 2 9B
Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). The model shows particular specialization in reasoning tasks with an average performance of 79.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google'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.
Gemma 2 9B
2024-06-27
Nova Lite
Amazon
2024-11-20
4 months newer
Performance Metrics
Context window and performance specifications
Gemma 2 9B
Nova Lite
Average performance across 5 common benchmarks
Gemma 2 9B
Nova Lite
Performance comparison across key benchmark categories
Gemma 2 9B
Nova Lite
Provider Availability & Performance
Available providers and their performance metrics
Gemma 2 9B
Nova Lite
Bedrock
Gemma 2 9B
Nova Lite