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.

Gemini 1.5 Pro
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Google's latest advancement in AI technology.

Gemini 1.5 Pro
2024-05-01

Command R+
Cohere
2024-08-30
4 months newer
Pricing Comparison
Cost per million tokens (USD)

Command R+

Gemini 1.5 Pro
Performance Metrics
Context window and performance specifications

Command R+

Gemini 1.5 Pro
Average performance across 3 common benchmarks

Command R+

Gemini 1.5 Pro
Performance comparison across key benchmark categories

Command R+

Gemini 1.5 Pro
Gemini 1.5 Pro
2023-11-01
Provider Availability & Performance
Available providers and their performance metrics

Command R+
Cohere
Bedrock

Gemini 1.5 Pro

Command R+

Gemini 1.5 Pro