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A Comparative Study of Conversational AI
Tools: ChatGPT, Claude, and Gemini in, Dr.P.Bharathisindhu
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Abstract: The rapid advancement of large language models (LLMs) has led to the emergence of a few leading conversational AI platforms, with OpenAI's ChatGPT, Anthropic's Claude, and Google's Gemini being the most widely used. This paper provides a comprehensive comparison of these three AI tools by reviewing existing research, benchmark studies, and expert evaluations. The comparison focuses on key aspects such as coding performance, writing quality, context understanding, multimodal capabilities, ecosystem integration, and pricing.The analysis shows that all three platforms deliver high-quality performance, with only minor differences in their overall capabilities. Their strengths, however, vary depending on the intended application. Claude demonstrates excellent performance in coding tasks and produces well-structured, natural writing. ChatGPT stands out for its extensive ecosystem, flexibility, and strong multimodal features, making it suitable for a wide range of professional and educational applications. Gemini excels in multimodal understanding and integrates seamlessly with Google's productivity tools, making it particularly useful for users already working within the Google ecosystem.The study concludes that there is no single AI platform that is universally superior. Instead, the most suitable choice depends on the user's specific requirements and workflow. As a result, many professionals and organizations are increasingly adopting multiple AI platforms to leverage the unique strengths of each.
Keywords: Artificial Intelligence, Large Language Models, ChatGPT, Claude, Gemini, Comparative Analysis, Conversational AI, Benchmarking.
Keywords: Artificial Intelligence, Large Language Models, ChatGPT, Claude, Gemini, Comparative Analysis, Conversational AI, Benchmarking.
How to Cite:
[1] Tools: ChatGPT, Claude, and Gemini in, Dr.P.Bharathisindhu, âA Comparative Study of Conversational AI,â International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15720
