AI Summary & Key Takeaways
AI InsightOverall correct answer rates were 71% for Gemini, 67% for ChatGPT, 63% for Claude, and 53% for Grok.
📌 3 Key Takeaways
Abstract
Aim To compare the accuracy and same-day response consistency of four free-tier AI chatbots on single-best-answer complete denture MCQs. Material and method Twenty-five English MCQs (A–E, single correct option) on complete denture prosthodontics were used. Four chatbots were tested via official web interfaces under default free-tier settings: ChatGPT, Claude, Gemini, and Grok. Each question was asked in a new chat to ensure zero prior context, using a standardized instruction requiring the output of only one option letter (“Answer: ”). Results Fleiss’ kappa showed significant within-day agreement for all chatbots (p<0.001), indicating non-random temporal consistency (ChatGPT κ=0.625; Claude κ=0.785; Gemini κ=0.813; Grok κ=0.693). Overall correct answer rates were 71% for Gemini, 67% for ChatGPT, 63% for Claude, and 53% for Grok. Correct response rates did not differ across morning/noon/evening for ChatGPT (p=0.607), Claude (p=0.779), or Grok (p=0.846), whereas Gemini showed a significant time-of-day effect (p=0.039), with higher evening accuracy (80%) than morning (68%) and noon (64%). Conclusion All four free-tier chatbots demonstrated significant same-day response consistency, with Gemini and Claude showing the highest agreement. Accuracy was numerically highest for Gemini and lowest for Grok, although between-tool differences were not statistically significant within the same time windows. These findings suggest that both accuracy and temporal stability should be considered when using free-tier chatbots for complete denture MCQ-based learning.