Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 20.2% higher average benchmark score. GPT-4.1 nano is $1.50 cheaper per million tokens. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
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.
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.
Launched on the same date
GPT-4.1 mini
OpenAI
2025-04-14
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 mini
GPT-4.1 nano
Context window and performance specifications
Average performance across 29 common benchmarks
GPT-4.1 mini
GPT-4.1 nano
GPT-4.1 mini
2024-05-31
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
GPT-4.1 mini
OpenAI
ZeroEval
GPT-4.1 mini
GPT-4.1 nano
GPT-4.1 mini
GPT-4.1 nano
GPT-4.1 nano
OpenAI