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.

GPT-4.1 nano
OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M 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 2025, it represents OpenAI's latest advancement in AI technology.

Command R+
Cohere
2024-08-30

GPT-4.1 nano
OpenAI
2025-04-14
7 months newer
Pricing Comparison
Cost per million tokens (USD)

Command R+

GPT-4.1 nano
Performance Metrics
Context window and performance specifications

Command R+

GPT-4.1 nano
Average performance across 1 common benchmarks

Command R+

GPT-4.1 nano
Performance comparison across key benchmark categories

Command R+

GPT-4.1 nano
GPT-4.1 nano
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

Command R+
Cohere
Bedrock

GPT-4.1 nano
OpenAI

Command R+

GPT-4.1 nano