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EleutherAI estimates OpenAI API models range from 350M to 175B parameters

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

RANK_REASON The summary provides an analysis of model sizes based on performance benchmarks, which is a research-oriented activity.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

EleutherAI estimates OpenAI API models range from 350M to 175B parameters

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  1. EleutherAI Blog TIER_1 English(EN) ·

    On the Sizes of OpenAI API Models

    Using eval harness, we can deduce the sizes of OpenAI API models from their performance.