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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM57456

Comparative Analysis of ChatGPT, Gemini, and Copilot for Python Coding Efficiency: A Practical Benchmark Study

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-

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Paper ID:

IJSREM57456

Volume:

10 |

3 |

Mar 2026

Pages:

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Monthly (12 issues per year)

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License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

NSL

Nisha Shekhar Lohar

PAD

Prof. Ankush Dhamal

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Abstract

Artificial Intelligence based coding assistants have significantly transformed modern software development. AI tools such as ChatGPT, Google Gemini, and GitHub Copilot assist developers in generating code, solving programming problems, and improving productivity. This research paper presents a comparative analysis of these three AI systems for Python programming efficiency. A practical experiment was conducted using an HTML-based interface where a user enters a question and the responses generated by ChatGPT, Gemini, and Copilot are compared. Python was used to analyze the generated responses and compute accuracy scores based on content relevance and

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Cite This Article

Nisha Shekhar Lohar, Prof. Ankush Dhamal, "Comparative Analysis of ChatGPT, Gemini, and Copilot for Python Coding Efficiency: A Practical Benchmark Study," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026.

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12/2/2026

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