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Codex

Coding modelCodexCodex

Codex

Release date: 2021-08-10Updated: 2023-08-27Views: 1,025
Live demoGitHubHugging FaceCompare
Parameters
175B
Context length
4K
Multilingual
Supported
Reasoning ability
No data

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

Codex

Model basics

Reasoning traces
No data
Thinking modes
Thinking modes not supported
Context length
4K tokens
Max output length
No data
Model type
Coding model
Modality (in / out)
No data
Release date
2021-08-10
Model file size
No data
MoE architecture
No
Total params / Active params
175B / Not applicable
Knowledge cutoff
No data
Codex

Open source & experience

Code license
Proprietary
Weights license
Proprietary
GitHub repo
N/A
Hugging Face
N/A
Live demo
N/A
Codex

Official resources

Paper
DataLearnerAI blog
N/A
Codex

API details

API speed
No data
No public API pricing yet.
Codex

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.

Thinking

Coding and Software Engineer

3 evaluations
Benchmark / mode
Score
Rank/total
HumanEval
Standard Mode
72.31
53 / 140
HumanEval
Standard Mode
46.81
90 / 140
HumanEval
Standard Mode
28.81
121 / 140
Codex

Publisher

Codex

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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