Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 9.4% higher average benchmark score. GPT-4.1 nano offers 936.0K more tokens in context window than GPT-4o mini. Both models have similar pricing. 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
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K token context window for handling large documents. 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 2024, it represents OpenAI's latest advancement in AI technology.
9 months newer
GPT-4o mini
OpenAI
2024-07-18
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 nano
GPT-4o mini
Context window and performance specifications
Average performance across 30 common benchmarks
GPT-4.1 nano
GPT-4o mini
GPT-4o mini
2023-10-01
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
GPT-4o mini
GPT-4.1 nano
GPT-4o mini
GPT-4.1 nano
GPT-4o mini
Azure