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 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.

Gemma 2 9B
2024-06-27

Nova Pro
Amazon
2024-11-20
4 months newer
Performance Metrics
Context window and performance specifications

Gemma 2 9B

Nova Pro
Average performance across 5 common benchmarks

Gemma 2 9B

Nova Pro
Performance comparison across key benchmark categories

Gemma 2 9B

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

Gemma 2 9B

Nova Pro
Bedrock

Gemma 2 9B

Nova Pro