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Codex

By OpenAI
0 reviews
Freemium
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What is Codex?

OpenAI Codex is a cloud-based AI coding agent that transforms natural language into production-ready code, automates code reviews, and integrates seamlessly with IDEs, CLIs, and GitHub to accelerate development across multiple programming languages while boosting developer productivity and code quality.

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Codex's Top Features

Key capabilities that make Codex stand out.

Automated code generation and modification from natural language prompts

Code understanding and codebase Q&A

Cloud and local execution with stateful handoff between environments

Parallel and proactive task handling in isolated sandboxes

Automated pull request reviews with runnable validation and suggestions

IDE and CLI integration, including a VS Code extension

Secure authentication with multi‑factor support

Pull request creation and proposal automation

Reinforcement learning on real‑world codebases for iterative, instruction‑following behavior

Seamless GitHub repository integration for continuous delivery and faster iteration

Codex's pricing

Key Details

Category
AI Assistant
Pricing Model
Freemium
Last Updated
March 8, 2026

Tags

AIcodingcloud-basedproduction-ready codecode reviewsIDEsCLIsGitHubdeveloper productivitymultiple programming languages

Category

About the Maker

The organization behind Codex.

OpenAI logo
OpenAIai lab

Creating safe AGI that benefits all of humanity

234 Tools6 ModelsFounded 2015San Francisco, CA
View full profile

AI Models by OpenAI

Large language models from the same organization.

ModelContext WindowPrice (In / Out per M)
GPT-5.4Current1.1M$2.50 / $15.00
GPT-5.3 CodexCurrent400K$1.75 / $14.00
o3Current200K$10.00 / $40.00
GPT-4o miniCurrent128K$0.15 / $0.60
GPT-4oCurrent128K$2.50 / $10.00
GPT-5400K$1.25 / $10.00

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Use Cases

Who benefits most from this tool.

Backend engineer

Generate REST endpoints, write unit tests, and fix failing integrations from natural language specs.

Frontend developer

Implement UI components and state management, and modify existing code based on product requirements.

Full‑stack team

Scaffold new projects, configure routing and data models, and set up CI with iterative testing.

Data scientist

Translate exploratory notebooks into production pipelines and optimize performance bottlenecks.

QA engineer

Auto-generate unit, integration, and regression tests and triage failures with explanations.

DevOps engineer

Author CLI scripts and GitHub Actions, validate builds, and automate deployment steps.

Tech lead / Reviewer

Run automated pull request reviews, reason across dependencies, and suggest improvements in PRs.

Project maintainer

Refactor legacy modules safely, rename symbols at scale, and keep style consistent across the codebase.

New team member

Ask questions about the codebase to accelerate onboarding and clarify unfamiliar sections.

Open‑source contributor

Propose and create pull requests directly from issues and natural language prompts.

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