Evaluation of ChatGPT vs. DeepSeek from a Privacy Perspective

The integration of artificial intelligence in healthcare has revolutionized research, diagnostics, and patient care. In particular, the emergence of ChatGPT and the recent rise of DeepSeek have drawn significant attention to this landscape. This empirical work provides a comparative performance evaluation of these models and their role in medical education from a privacy perspective. Our study shows that, at present, DeepSeek-R1 is based on enhanced reasoning capabilities, while the ChatGPT-4o counterpart, on the other hand, is designed with support for text, audio, and vision which is lacking in standard DeepSeek models. However, due to the distillation techniques used, DeepSeek has an advantage over ChatGPT in terms of resource requirements. We evaluate both models on the MedQA dataset from privacy perspectives where ChatGPT returns 94% correct answers compared to 91% with DeepSeek, though DeepSeek demonstrates consistency in explanatory responses.