Comprehensive side-by-side LLM comparison
GPT-5 leads with 32.6% higher average benchmark score. GPT-4.1 nano offers 552.3K more tokens in context window than GPT-5. GPT-4.1 nano is $10.75 cheaper per million tokens. Overall, GPT-5 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-5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 70.1% across 35 benchmarks. It excels particularly in SWE-Lancer (IC-Diamond subset) (100.0%), COLLIE (99.0%), Tau2 Telecom (96.7%). 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 nano
OpenAI
2025-04-14
GPT-5
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-4.1 nano
GPT-5
Context window and performance specifications
Average performance across 49 common benchmarks
GPT-4.1 nano
GPT-5
GPT-4.1 nano
2024-05-31
GPT-5
2024-09-30
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
GPT-5
GPT-4.1 nano
GPT-5
GPT-4.1 nano
GPT-5
OpenAI
ZeroEval