Objective To explore the application potential of GPT-4 large language model in nursing education.Methods GPT-4 was used to quantitatively test the Supervisory Nurse Examination, and the accuracy of the answers was classified and evaluated.Results The overall accuracy of GPT-4 was 81.00%.The accuracy of knowledge memorization and simple choice questions was 82.64% and 82.52%, respectively.The accuracy of GPT-4 was 76.60% and 70.97% respectively when solving knowledge application and complex choice questions.Conclusion GPT-4 shows great potential as an auxiliary tool for nursing teaching and clinical nursing.Future research should explore how to combine large language models with external knowledge sources and innovate application methods to improve the accuracy of content generated by large models.At the same time, nursing educators should actively explore ways to improve students′ self-study ability and self-evaluation ability with large language models.