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Codex

Codex

AI coding agent for building, reviewing, refactoring, and shipping software.

Codex screenshot

What is Codex?

⚡ Quick Summary / TL;DR

Codex is an AI-driven Coding platform designed to i coding agent for building, reviewing, refactoring, and shipping software.. It is specifically optimized for Developer, Founder, Freelancer seeking to streamline their workflow and enhance productivity.

Overview of Codex

Codex is an AI coding agent from OpenAI for software engineering work across codebases, repositories, and development environments. It can take on tasks such as building features, fixing bugs, writing tests, reviewing pull requests, refactoring code, and handling migrations. Codex is designed for end to end engineering work rather than only answering coding questions, with agents able to work through tasks and produce changes for review. Developers can use Codex through ChatGPT, the Codex app, editor integrations, and the terminal. It supports workflows where an agent investigates a repository, makes changes, runs relevant checks, and prepares work for a developer to review. Codex also supports parallel agent workflows, cloud environments, worktrees, reusable Skills, and scheduled background work for tasks such as issue triage, monitoring, and other recurring engineering jobs. Codex stands out through its combination of agentic coding, multiple execution environments, parallel work, and workflow customization. OpenAI describes it as a command center for agentic coding, while its documentation covers coding tasks, code review, security, usage limits, and credit based pricing. Codex usage is included with eligible ChatGPT plans within plan limits, while additional usage can draw from purchased credits. Buyers should check current model availability, credit rates, plan limits, and whether the workflow needs ChatGPT access or a supported developer setup. For FutureStack, Codex belongs in Coding because its primary buyer intent is AI assisted software engineering. It is best for building features, debugging, refactoring, migrations, code review, test generation, and repeatable agentic development workflows. Developers comparing Codex with Claude Code, Cursor, GitHub Copilot, or other coding agents should compare execution environments, model access, repository workflows, usage limits, and the amount of supervision each workflow requires.

Key Features of Codex

  • End to end coding tasks across real repositories
  • Pull request review, refactoring, migrations, and test generation
  • Parallel agents with cloud environments and worktrees
  • ChatGPT, editor, terminal, Skills, and scheduled workflows

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Pricing summary

Codex is available through eligible ChatGPT plans with included usage limits. Plus is listed at $20 per month and Pro at $200 per month, while ChatGPT Business is $25 per user monthly or $20 per user monthly when billed annually. Additional Codex usage can be purchased through credits for eligible plans, and usage rates depend on token consumption and the selected model.

Pricing & Plans for Codex

Plus

Individual ChatGPT access with Codex included within plan limits.

$20/month
  • Codex access
  • Included agentic usage
  • ChatGPT access
  • Additional credits when eligible
Popular

Pro

Higher capacity for demanding coding and agent workflows.

$200/month
  • Higher Codex usage
  • Advanced coding workflows
  • More agentic capacity
  • Additional credits when eligible

Business

Team workspace with ChatGPT and Codex access.

$25/month
  • ChatGPT and Codex access
  • Centralized billing
  • Admin and spend controls
  • Team workspace

Other pricing notes

  • Pricing checked on 2026-08-20 using official OpenAI Codex and ChatGPT pricing and help documentation.
  • Plus and Pro users can purchase additional credits for supported Codex usage after included plan limits are reached.
  • Business access has seat specific rules and Codex usage is credit based, so buyers should verify current eligibility and limits before purchase.
Pricing last checked: August 2026Official pricing page

Pros & Cons of Codex

Pros

  • Handles multi step engineering tasks beyond code suggestions
  • Supports parallel agents for larger development workflows
  • Works across ChatGPT, editor, and terminal environments
  • Built in worktrees and cloud environments support isolated tasks
  • Scheduled background work can automate recurring engineering jobs

Cons

  • Usage depends on plan limits and credit consumption
  • Advanced workflows can require careful agent supervision
  • Model and feature availability can change over time
  • Cloud and local workflows have different setup requirements
  • Heavy usage can require additional paid credits

Frequently Asked Questions about Codex

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