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 E2B Instructed LiteRT (Preview)
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Command R+
Cohere
2024-08-30

Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
8 months newer
Performance Metrics
Context window and performance specifications

Command R+

Gemma 3n E2B Instructed LiteRT (Preview)
Average performance across 4 common benchmarks

Command R+

Gemma 3n E2B Instructed LiteRT (Preview)
Performance comparison across key benchmark categories

Command R+

Gemma 3n E2B Instructed LiteRT (Preview)
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Command R+
Cohere
Bedrock

Gemma 3n E2B Instructed LiteRT (Preview)

Command R+

Gemma 3n E2B Instructed LiteRT (Preview)