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 3n E4B
Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
Command R+
Cohere
2024-08-30
Gemma 3n E4B
2025-06-26
10 months newer
Performance Metrics
Context window and performance specifications
Command R+
Gemma 3n E4B
Average performance across 3 common benchmarks
Command R+
Gemma 3n E4B
Performance comparison across key benchmark categories
Command R+
Gemma 3n E4B
Gemma 3n E4B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Command R+
Cohere
Bedrock
Gemma 3n E4B
Command R+
Gemma 3n E4B