Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 14.6% higher average benchmark score. GPT-4.1 nano offers 886.8K more tokens in context window than o1-mini. GPT-4.1 nano is $14.50 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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.
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.
7 months newer
o1-mini
OpenAI
2024-09-12
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 nano
o1-mini
Context window and performance specifications
Average performance across 29 common benchmarks
GPT-4.1 nano
o1-mini
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
o1-mini
GPT-4.1 nano
o1-mini
GPT-4.1 nano
o1-mini
Azure
OpenAI