Talk · International Conference on Computer Science and Engineering · September 17, 2025
Comparative Analysis of GenAI Models in Problem Solving on the LeetCode Platform
Aslan Zhaksylykov, Zhanat Kunapianovna Nurbekova, Ainur Sagimbayeva, Shirinkyz Tleubergenovna Shekerbekova
Abstract
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.
More by Zhanat Nurbekova
- Evaluating Large Language Models for Kazakh-Language Educational Assistants: Sentiment Classification and Question Answering with and Without ContextInformation · 2026
- A multifactor model for assessing programming knowledge based on the synchronization of AI analytics and expert evaluationFrontiers in Education · 2026
- Development of a data mining methodology for an analytical system supporting students’ professional developmentFrontiers in Education · 2026
- An Ethical and Governance-Aware Data Collection Framework for Low-Resource Kazakh LLM TrainingInternational Conference on Computer Science and Engineering · 2026
