Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 39.6% higher average benchmark score. GPT-4.1 mini offers 552.3K more tokens in context window than GPT-5 nano. GPT-5 nano is $1.55 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-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.
3 months newer
GPT-4.1 mini
OpenAI
2025-04-14
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-4.1 mini
GPT-5 nano
Context window and performance specifications
Average performance across 30 common benchmarks
GPT-4.1 mini
GPT-5 nano
GPT-5 nano
2024-05-30
GPT-4.1 mini
2024-05-31
Available providers and their performance metrics
GPT-4.1 mini
OpenAI
ZeroEval
GPT-4.1 mini
GPT-5 nano
GPT-4.1 mini
GPT-5 nano
GPT-5 nano
OpenAI
ZeroEval