Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 29.2% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Command R+. Command R+ is $0.75 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, GPT-4.1 mini 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-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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.
7 months newer
Command R+
Cohere
2024-08-30
GPT-4.1 mini
OpenAI
2025-04-14
Cost per million tokens (USD)
Command R+
GPT-4.1 mini
Context window and performance specifications
Average performance across 34 common benchmarks
Command R+
GPT-4.1 mini
GPT-4.1 mini
2024-05-31
Available providers and their performance metrics
Command R+
Bedrock
Cohere
Command R+
GPT-4.1 mini
Command R+
GPT-4.1 mini
GPT-4.1 mini
OpenAI
ZeroEval