Comparative Analysis of GenAI Models in Problem Solving on the LeetCode Platform
Zhaxylykov A. Nurbekova Z. Sagimbayeva A. Shekerbekova S.
2025Institute of Electrical and Electronics Engineers Inc.
International Conference on Computer Science and Engineering, UBMK
2025Issue 2025131 - 136 pp.
This paper compares the performance of different AI models (GPT-4o, Gemini 2.0, GPT o3-mini, Grok, and LLAMA) in solving programming problems on the Leetcode platform. The study assessed the accuracy, speed, and ability of the models to handle complex cases. The study identified the strengths and weaknesses of each model, as well as issues with the accuracy of calculations. The results of the study demonstrate the importance and features of using GenAI in teaching programming, but also indicate the need to develop critical thinking and student independence. Recommendations for optimizing educational tasks taking into account the use of GenAI are proposed.
AI models , AI-assisted learning , algorithmic problems , computational accuracy , critical thinking , GenAI , Leetcode , programming , programming platforms , task optimization
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Toraighyrov University, Faculty of Compuer Scince, Pavlodar, Kazakhstan
Abai Kazakh National Pedagogical University, Dept of Informatics and Informatization of Education, Almaty, Kazakhstan
Toraighyrov University
Abai Kazakh National Pedagogical University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026