DOI: 10.1177/20427530261498358 ISSN: 2042-7530

Comparative evaluation of ChatGPT and google gemini in creative content generation

S Gnanapriya, K Anandan, M Sengaliappan

This study presents a systematic comparative evaluation of two leading large language models — OpenAI’s ChatGPT and Google’s Gemini — in the domain of creative content generation. As generative artificial intelligence tools proliferate across industries including media, marketing, education, and entertainment, understanding their relative capabilities in producing imaginative, stylistically varied, and contextually coherent text becomes increasingly essential. The evaluation employs a structured multi-criteria framework assessing originality, narrative coherence, stylistic adaptability, emotional resonance, and contextual relevance across five standardised creative task categories: short fiction, poetry, advertising copy, dialogue writing, and metaphor generation. Results indicate that both models demonstrate considerable creative competence, yet exhibit distinct qualitative profiles. The study contributes an empirical methodology for AI creative benchmarking with implications for practitioner selection, model development, and policy on AI-generated content attribution.

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