Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 2 27B
Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. 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 Micro
Amazon
Nova Micro is a language model developed by Amazon. It achieves strong performance with an average score of 67.0% across 17 benchmarks. It excels particularly in GSM8k (92.3%), ARC-C (90.2%), Translation Set1→en COMET22 (88.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Amazon's latest advancement in AI technology.
Gemma 2 27B
2024-06-27
Nova Micro
Amazon
2024-11-20
4 months newer
Performance Metrics
Context window and performance specifications
Gemma 2 27B
Nova Micro
Average performance across 5 common benchmarks
Gemma 2 27B
Nova Micro
Performance comparison across key benchmark categories
Gemma 2 27B
Nova Micro
Provider Availability & Performance
Available providers and their performance metrics
Gemma 2 27B
Nova Micro
Bedrock
Gemma 2 27B
Nova Micro