Comprehensive side-by-side LLM comparison
Command R+ leads with 1.5% higher average benchmark score. Command R+ offers 62.5K more tokens in context window than o1-mini. Command R+ is $13.75 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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%). 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.
OpenAI
o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
13 days newer
Command R+
Cohere
2024-08-30
o1-mini
OpenAI
2024-09-12
Cost per million tokens (USD)
Command R+
o1-mini
Context window and performance specifications
Average performance across 11 common benchmarks
Command R+
o1-mini
Available providers and their performance metrics
Command R+
Bedrock
Cohere
Command R+
o1-mini
Command R+
o1-mini
o1-mini
Azure
OpenAI