A comparative review of LLM-based conversational systems: insights from DeepSeek, ChatGPT, Gemini, Claude, and Copilot

Recent advancements in artificial intelligence (AI) have led to the development of sophisticated large language models (LLMs), each designed with unique capabilities and intended applications. As multiple technology vendors compete in this space, understanding the strengths and limitations of their models is critical for informed adoption. This study conducts a comparative analysis of leading AI-driven LLM-based conversational systems such as DeepSeek, ChatGPT, Gemini, Claude, and Copilot, evaluating their distinct functionalities and practical use cases. By examining key features, this research provides insights into their effectiveness for diverse applications, highlighting advantages and trade-offs inherent to each system.

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Publication Details

Journal
IET conference proceedings.
Published
2025-10-01
DOI
https://doi.org/10.1049/icp.2025.2980
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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article

A comparative review of LLM-based conversational systems: insights from DeepSeek, ChatGPT, Gemini, Claude, and Copilot

Saif ul Islam, Abdul Jabbar, Jalil Boudjadar
1 citations
IET conference proceedings.
Artificial Intelligence in Healthcare and Education
0.65
article

A comparative review of LLM-based conversational systems: insights from DeepSeek, ChatGPT, Gemini, Claude, and Copilot

Saif ul Islam, Abdul Jabbar, Jalil Boudjadar
article en
1 citations

Abstract

Recent advancements in artificial intelligence (AI) have led to the development of sophisticated large language models (LLMs), each designed with unique capabilities and intended applications. As multiple technology vendors compete in this space, understanding the strengths and limitations of their models is critical for informed adoption. This study conducts a comparative analysis of leading AI-driven LLM-based conversational systems such as DeepSeek, ChatGPT, Gemini, Claude, and Copilot, evaluating their distinct functionalities and practical use cases. By examining key features, this research provides insights into their effectiveness for diverse applications, highlighting advantages and trade-offs inherent to each system.

IET conference proceedings.Vol. 2025(22)
COMSATS University Islamabad (PK), Aarhus University (DK), University of Warwick (GB)
Openalex Percentile: Top 21%
Artificial Intelligence in Healthcare and Education
0.65
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A comparative review of LLM-based conversational systems: insights from DeepSeek, ChatGPT, Gemini, Claude, and Copilot — Saif ul Islam, Abdul Jabbar, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS