Comprehensive side-by-side LLM comparison
Command R+ leads with 17.9% higher average benchmark score. GPT-5 nano offers 272.0K more tokens in context window than Command R+. GPT-5 nano is $0.80 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Overall, Command R+ is the stronger choice for coding tasks.
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
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K 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. Released in 2025, it represents OpenAI's latest advancement in AI technology.
11 months newer
Command R+
Cohere
2024-08-30
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
Command R+
GPT-5 nano
Context window and performance specifications
Average performance across 11 common benchmarks
Command R+
GPT-5 nano
GPT-5 nano
2024-05-30
Available providers and their performance metrics
Command R+
Bedrock
Cohere
Command R+
GPT-5 nano
Command R+
GPT-5 nano
GPT-5 nano
OpenAI
ZeroEval