In the context of Artificial Intelligence (AI)-powered financial education, this study undertakes a comparative examination of two major generative AI (GAI) tools, ChatGPT and DeepSeek. The models are assessed on the basis of accuracy, relevance, and clarity using the dataset of 20 previous CFA (Chartered Financial Analyst) questions. Statistical analysis reveals that compared to DeepSeek, ChatGPT achieves higher mean score in accuracy, relevance, and clarity. In terms of readability, DeepSeek outperforms ChatGPT with higher Flesch Reading Ease score and lower Flesch Kincaid grade level. The results imply that ChatGPT would be more appropriate for more experienced users because of its greater accuracy and relevance, whereas DeepSeek works better for students who value simplicity and clarity. For creating CFA curricula and training materials, both models have potential for financial education. While using GAI techniques in work environments, model adaptation and ethical concerns are crucial. Future studies can examine the effects of varied training datasets and real time feedback on model performance.