Codex is an AI model published by OpenAI, released on 2021-08-10, for Coding model, with 175B parameters, and 4K context length, with a 72.31 score on HumanEval.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
Benchmark Results
Codex currently shows benchmark results led by HumanEval (53 / 140, score 72.31). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Coding and Software Engineer
3 evaluationsPublisher
Model Overview
Codex is an AI model published by OpenAI, released on 2021-08-10, for Coding model, with 175B parameters, and 4K context length, with a 72.31 score on HumanEval.
Foundation model
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