Comprehensive side-by-side LLM comparison
Nova Pro leads with 24.8% higher average benchmark score. Nova Pro supports multimodal inputs. Overall, Nova Pro is the stronger choice for coding tasks.
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%). It's licensed for commercial use, making it suitable for enterprise applications. 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.
4 months newer
Gemma 2 9B
2024-06-27
Nova Pro
Amazon
2024-11-20
Context window and performance specifications
Average performance across 38 common benchmarks
Gemma 2 9B
Nova Pro
Available providers and their performance metrics
Gemma 2 9B
Nova Pro
Bedrock
Gemma 2 9B
Nova Pro
Gemma 2 9B
Nova Pro