PERFORMANCE OF CHATGPT-5.1 AND GEMINI 2.5 FLASH ON THE UKRAINIAN LICENSING INTEGRATED EXAMINATION “KROK 3”: A COMPARATIVE STUDY

Authors

DOI:

https://doi.org/10.30888/2663-5712.2026-35-02-006

Keywords:

large language models, artificial intelligence, medical licensing examination, Krok 3, multiple-choice questions, role-based prompting, response stability

Abstract

The development of large language models (LLMs) has opened new perspectives for their integration into healthcare. Previous studies have demonstrated the high effectiveness of leading LLMs, such as GPT-4, in passing standardized English-language medical

Published

2026-01-30

How to Cite

Михалко, Я., Філак, Я., Філак, І., Філак, Ф., & Рубцова, Є. (2026). PERFORMANCE OF CHATGPT-5.1 AND GEMINI 2.5 FLASH ON THE UKRAINIAN LICENSING INTEGRATED EXAMINATION “KROK 3”: A COMPARATIVE STUDY. SWorldJournal, 2(35-02), 207–216. https://doi.org/10.30888/2663-5712.2026-35-02-006

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Articles