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 3 27B
Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). The model shows particular specialization in math tasks with an average performance of 78.2%. It supports a 262K token context window for handling large documents. The model is available through 2 API providers. 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 3 27B
2025-03-12
6 months newer
Pricing Comparison
Cost per million tokens (USD)

Command R+

Gemma 3 27B
Performance Metrics
Context window and performance specifications

Command R+

Gemma 3 27B
Average performance across 1 common benchmarks

Command R+

Gemma 3 27B
Performance comparison across key benchmark categories

Command R+

Gemma 3 27B
Provider Availability & Performance
Available providers and their performance metrics

Command R+
Cohere
Bedrock

Gemma 3 27B
DeepInfra
Novita

Command R+

Gemma 3 27B