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This paper is in the following e-collection/theme issue:

New Resources for Medical Education (199) Testing and Assessment in Medical Education (201) Artificial Intelligence (AI) in Medical Education (669) Generative Language Models Including ChatGPT (1419)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73469, first published .
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Evaluating the Performance of DeepSeek-R1 and DeepSeek-V3 Versus OpenAI Models in the Chinese National Medical Licensing Examination: Cross-Sectional Comparative Study

Evaluating the Performance of DeepSeek-R1 and DeepSeek-V3 Versus OpenAI Models in the Chinese National Medical Licensing Examination: Cross-Sectional Comparative Study

Authors of this article:

Weiping Wang1 Author Orcid Image ;   Yuchen Zhou1, 2 Author Orcid Image ;   Jingxuan Fu3 Author Orcid Image ;   Ke Hu1 Author Orcid Image
Article Authors Cited by (10) Tweetations Metrics

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  1. Stoyanov A, Nedelcheva A. Identifying Features of LLM-Resistant Exam Questions: Insights from Artificial Intelligence (AI)–Student Performance Comparisons. Sci 2025;7(4):183 View
  2. Sudo H, Noborimoto Y, Takahashi J. Evaluation of Few-Shot AI-Generated Feedback on Case Reports in Physical Therapy Education: Mixed Methods Study. JMIR Medical Education 2025;11:e85614 View
  3. Liang C, Ghassemiazghandi M. Error analysis of large language model-generated film subtitles using the FAR model. Cogent Arts & Humanities 2026;13(1) View
  4. Cheng X, Chen J, Yang D, Peng Y, Gong S. Comparative performance of ChatGPT and DeepSeek in interpreting the 2025 ESICM guidelines on sepsis fluid therapy. DIGITAL HEALTH 2026;12 View
  5. Lu Z, Cao H, Ma C, Zheng J, Ma X. Mapping the Reliability–Readability Gap in AMD Patient Education Across Six Large Language Models (Preprint). JMIR Medical Informatics 2026 View
  6. Niu Z, Tang D, Chen J, Zhang P, Zhu C. Performance of deepseek-R1 and ChatGPT-5.4 thinking in the medical laboratory professional title examination: accuracy, stability, and comparison with interns. Frontiers in Digital Health 2026;8 View
  7. Ma L, Mao K, Shi J, Bateni S, Guo Z, Yuan Z. An optimization AI model based on MoE for retrieving land surface temperature and emissivity. International Journal of Applied Earth Observation and Geoinformation 2026;152:105438 View
  8. Wang Z, Qin Y, Wu J. Performance stability despite iteration: evaluating DeepSeek and ChatGPT on Chinese medical licensing examinations. Frontiers in Medicine 2026;13 View
  9. Li M, Yu Y, Li G, Zhang X, Shi Y, Su R. Large language models for breast cancer treatment planning: a blinded real-world evaluation of DeepSeek, ChatGPT, and oncologist recommendations. Frontiers in Digital Health 2026;8 View
  10. Huang C, Sun Y, Liu W. A comparative study of the performance of different large language models in the Chinese National Pharmacist Licensing Examination. Frontiers in Medicine 2026;13 View