EleutherAI has estimated the parameter counts of OpenAI's API models by comparing their performance on various tasks to known benchmarks. Their analysis suggests that models like Ada, Babbage, Curie, and Davinci correspond to approximately 350 million, 1.3 billion, 6.7 billion, and 175 billion parameters, respectively. While not official figures, these estimates provide a strong indication of the scale of OpenAI's deployed models. AI
Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →
RANK_REASON The summary provides an analysis of model sizes based on performance benchmarks, which is a research-oriented activity.
