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.

o4-mini
OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). 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

o4-mini
OpenAI
2025-04-16
7 months newer
Performance Metrics
Context window and performance specifications

Command R+

o4-mini
Performance comparison across key benchmark categories

Command R+

o4-mini
o4-mini
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

Command R+
Cohere
Bedrock

o4-mini

Command R+

o4-mini