Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Command R+
Cohere
Command R+ is a language model developed by Cohere. It achieves strong performance with an average score of 74.6% across 6 benchmarks. It excels particularly in HellaSwag (88.6%), Winogrande (85.4%), MMLU (75.7%). The model shows particular specialization in reasoning tasks with an average performance of 81.7%. It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Cohere's latest advancement in AI technology.
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.
Gemma 2 27B
2024-06-27
Command R+
Cohere
2024-08-30
2 months newer
Performance Metrics
Context window and performance specifications
Command R+
Gemma 2 27B
Average performance across 5 common benchmarks
Command R+
Gemma 2 27B
Performance comparison across key benchmark categories
Command R+
Gemma 2 27B
Provider Availability & Performance
Available providers and their performance metrics
Command R+
Cohere
Bedrock
Gemma 2 27B
Command R+
Gemma 2 27B