Duo

Cursor vs Codex: Which to Pick

Checked 2026-10-31

The verdict

Pick Cursor if you want a full agent-first editor with several vendors' models and you will pay for it by plan plus usage. Pick Codex if you already pay for ChatGPT, want an Apache-2.0 terminal agent, or want a free way to try an agent. They are not rivals in every setup: OpenAI says Codex installs inside Cursor. Facts checked on 31 October 2026.

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Pick Cursor if you want a full agent-first editor with several vendors' models and you will pay for it by plan plus usage. Pick Codex if you already pay for ChatGPT, want an Apache-2.0 terminal agent, or want a free way to try an agent. They are not rivals in every setup: OpenAI says Codex installs inside Cursor. Facts checked on 31 October 2026.

The short version

If this is you

Start with

You pay for ChatGPT Plus or Pro already

Codex

You want to try an agent without paying

Codex on ChatGPT Free

You want an editor built around the agent

Cursor

You want to choose between OpenAI, Anthropic and Gemini models

Cursor

You want an open-source agent you can read

Codex CLI (Apache-2.0)

You work in terminals, SSH and CI

Codex CLI, or Cursor's CLI

What each one is

Cursor

Cursor's docs call it a coding agent for building software. It runs as a desktop app on macOS, Windows and Linux, as a CLI that plugs into scripts and automation, and as cloud agents. Its CLI page says it runs shell commands with safety checks and works with GitHub Actions. More background on the company and the pricing sale channel is in Cursor vs Claude Code, and our entry is Cursor.

Codex

OpenAI's README says "Codex CLI is a coding agent from OpenAI that runs locally on your computer." It also names other ways in: an IDE install for VS Code, Cursor and Windsurf, a desktop experience through codex app, and a cloud version on the web. So "Codex" is a family: CLI, IDE extension, desktop app, web and iOS. The CLI repository is licensed Apache-2.0. Our entry is OpenAI Codex CLI, and the longer comparison with Anthropic's agent is Claude Code vs Codex.

The shape of the difference: Cursor is one product with a CLI attached. Codex is a CLI-first agent with an editor extension and an app attached.

Plans and prices

Cursor

Plan

Price

Notes

Free

$0

Limited usage

Plus

$8 a month

Grok models only

Premium

$30 a month

4x Plus usage, cloud agents, code hosting, AI code reviews, third-party models at API list price

Super

$100 a month

15x Plus, priority at peak times

Ultra

$200 a month

50x Plus

Teams

$30 plus per user a month

Pooled usage, SSO, privacy settings

Third-party model usage in Cursor is billed separately by usage and is not in the monthly price.

Codex

OpenAI's Codex pricing page says ChatGPT uses the same pricing, credits and usage limits as Codex.

Plan

Price

Codex notes

Free

$0 a month

Explore on quick tasks; GPT-6 Luna at Standard speed in the desktop app, subject to rollout

Go

$8 a month

Lightweight coding tasks

Plus

$20 a month

Codex on web, CLI, IDE extension and iOS; cloud integrations like code review and Slack; GPT-6.1 Sol and GPT-6 Luna; extra usage via ChatGPT credits

Pro

$100, $200 or $500 a month

Higher tiers; Pro plans currently have no five-hour limit

Business

Per seat

No training on business data by default, per the page

Enterprise

Contract

SCIM, EKM and enterprise controls

API key

Pay per token

For automation in shared environments such as CI

Plus and Standard Business usage is described in local messages per five-hour window, with ranges that vary by model. OpenAI calls them estimates, not fixed limits, and tells you to check the usage dashboard.

Reading them together

What you want

Cheapest route

Free trial of an agent

Codex on ChatGPT Free, or Cursor Free

Light use under $10

Codex Go ($8), or Cursor Plus ($8, Grok only)

Regular daily use with frontier models

Codex on Plus ($20), or Cursor Premium ($30) plus usage

Heavy daily use

Codex Pro from $100, or Cursor Super ($100)

The structural difference is that Codex's plans bundle OpenAI's models in a ChatGPT subscription with a rolling window, while Cursor's plans bundle Cursor features and bill other vendors' models by use. A Codex user hits a window and waits or buys credits. A Cursor user running a third-party model sees a meter.

Side-by-side facts

Cursor

Codex

Maker

Anysphere, per the site

OpenAI

Licence

Proprietary

Apache-2.0 (CLI repo)

Surfaces

Desktop app, CLI, cloud agents

CLI, IDE extension, desktop app, web, iOS

Models

OpenAI, Anthropic, Gemini, SpaceXAI, Cursor

OpenAI models

Install

Download the app

curl -fsSL https://chatgpt.com/codex/install.sh | sh, npm install -g @openai/codex, brew install --cask codex

Project instructions

Rules files

AGENTS.md

MCP

stdio, SSE, Streamable HTTP, OAuth

Supported in CLI

Scripting

CLI, GitHub Actions

codex exec for scripts and CI

Cloud tasks

Premium and above

Cloud tasks on the web

Free entry

Free plan

ChatGPT Free

Where Cursor is stronger

Model choice. The homepage says you can pick between several vendors' models. Codex is OpenAI's.

An editor that is part of the agent. If you want to see a diff in the file, accept by hunk and keep typing in the same window, Cursor is built for that. Codex has an IDE extension, but its centre of gravity is the CLI.

Bundled extras. Premium and above include cloud agents and automations, code hosting through Origin, and AI code reviews. Codex has cloud tasks and Plus lists code review as a cloud integration, so the gap is smaller than it looks, but the packaging differs.

Where Codex is stronger

Price of entry. Free and $8 plans exist, and OpenAI says all of them include Codex.

Open source. The Apache-2.0 CLI is readable, forkable and scriptable. Cursor is closed.

One subscription for chat and code. ChatGPT plans cover both. If you already pay $20 for ChatGPT, Codex is a zero-cost addition.

Automation. The docs describe codex exec for scripts and CI, with an API key for shared environments.

Add-ons and MCP

Both reach MCP servers, which is how an agent touches GitHub, databases and browsers. Cursor documents stdio, SSE and Streamable HTTP with OAuth and a marketplace. Codex's CLI docs list MCP servers among its features. Both use a project instruction file: AGENTS.md for Codex, rules for Cursor. Start from our MCP server directory and the best MCP servers list, and check each listing for the install line per agent.

Privacy and data handling

OpenAI's page says Business plans have no training on business data by default.

Cursor's Teams plan lists team-wide privacy settings and custom chat data retention.

If you run both, remember that Cursor sends your prompts to whichever vendor's model you picked, so the model vendor's terms apply too.

Limits and gotchas

  • Cursor Plus is Grok only. Not a way into Claude or GPT.
  • Cursor usage multipliers are relative to Plus. There is no absolute number.
  • Codex limits are estimates. The ranges differ by model, from a few dozen messages to a few thousand per five-hour window.
  • Codex Free depends on rollout. The page says availability of the model is subject to rollout.
  • Plan names drift. Both vendors rename tiers often. Click through before you buy.
  • Corporate links. Cursor's pricing is sold through X Subscription. Codex is tied to your ChatGPT account. Know whose account owns the subscription before a team adopts either.

Who should pick which

A ChatGPT subscriber

Install Codex first. It costs nothing extra and you learn what an agent does well on your code.

A developer who lives in an editor

Cursor. Or use Codex's IDE extension inside Cursor and get both, at the cost of two subscriptions.

A terminal and CI user

Codex CLI, or Cursor's CLI if you already use Cursor. Compare codex exec and Cursor's GitHub Actions support on your pipeline.

A cost-sensitive learner

Start on both free plans. Move to a paid plan only when you hit a limit you care about.

A team lead

Check who owns the billing. Cursor Teams is $30 or more per user per month with pooled usage. ChatGPT Business is per seat with OpenAI's no-training default. Run a two-week pilot with a real backlog item.

Using them together

Codex installs as an extension in Cursor, per OpenAI's README, so you can keep Cursor as the editor and call Codex for a task. Compare it on one task before paying for both. Related pairings are in Cursor vs GitHub Copilot and Codex vs Gemini CLI.

Setup and first run

Codex

Install with one of the commands in the table above, run codex in a repository and sign in with your ChatGPT account or an API key. The CLI docs describe resuming sessions, adding images, live web search and a review command that reports prioritised findings without changing your working tree. Start with the review command on a branch. It is a safe first job, because it reads and reports instead of editing.

Cursor

Download the desktop app, sign in, open a repository and start the agent. The CLI is a separate install for scripts and automation. A good first job is a small bug fix with a failing test, because you can see at once whether the diff is right. Check the usage screen afterward to see whether a third-party model was billed.

Safety and approvals

Both tools can run shell commands, so the permission model matters more than the model name.

Codex's CLI docs describe choosing when it may edit files or run commands without asking, and they show the active sandbox and writable roots. Cursor's CLI page says it runs shell commands with safety checks. Neither replaces review. Run any agent on a branch, read the diff, and keep secrets out of the working directory.

A practical habit that works with both: keep a project instruction file that states how to run tests, which directories are off limits and what the commit style is. For Codex that file is AGENTS.md. Cursor has its own rules files. If you use both, keep one source and point the other at it, so the instructions never drift.

Monthly cost, three kinds of month

Prices are the list prices above. Third-party model usage in Cursor is extra and we cannot total it for you, so each line says what is fixed and what is not.

Month

Cursor

Codex

Light: a few small tasks

Free, or Plus at $8 (Grok only)

Free, or Go at $8

Steady: an agent session most workdays

Premium at $30, plus metered third-party model use

Plus at $20, with extra usage bought as ChatGPT credits

Heavy: the agent runs for hours a day

Super at $100 or Ultra at $200, plus metered model use

Pro at $100, $200 or $500, with no five-hour limit on current Pro plans

On the steady row the gap is $10 before metering, and the metered part is the unknown. Cursor's Premium lists third-party models "at API list price," so the more you lean on Anthropic or Gemini models, the more the variable part grows. On Codex the variable part is the credits you buy after you hit a window. Neither is free of surprises. The way to remove the surprise is to look at the usage screen once a week for the first month and write down the number.

What a two-week pilot should measure

A pilot that ends with "it felt good" tells a team nothing. Pick measures before you start.

  1. Accepted diffs. Of the changes the agent proposed, how many did a reviewer merge without a rewrite?
  2. Correction rounds. How many follow-up messages did the average task need?
  3. Spend or allowance used. Read it from the usage screen, not from memory.
  4. Review time. Did reviewers take longer on agent diffs than on human ones?
  5. Blocked days. How many times did someone hit a limit and stop?

Run the same backlog items through both tools, ideally on different days of the week so one tool does not get all the easy Mondays. Assign each item to a developer who did not write the code. If you use Codex inside Cursor for part of the test, record which of the two produced each diff.

Questions people ask

Can I use Codex without leaving Cursor? OpenAI's README says Codex installs as an extension in VS Code, Cursor and Windsurf, so yes.

Do I need a ChatGPT plan for Codex? Codex works with a ChatGPT account, including Free, or with an API key.

Does Cursor include Claude and GPT models in the monthly price? The Premium plan lists third-party models at API list price, billed separately by usage and not part of the monthly fee. Plus is Grok models only.

Which suits a company with strict data rules? Neither page settles it for individual plans. Both have team and enterprise tiers with privacy controls. Ask each vendor for its data-handling terms in writing before a rollout.

Our take

On paper, Codex is the easier first step: free to try, open source, bundled with a subscription many people already have. Cursor is the better product shape if you want the editor and agent to be one thing, and the model menu is real.

We did not run both on a shared task, and we will not claim one writes better code. The honest way to decide is the free tiers on a real repo. Time how long each takes to produce a diff you would merge. Whichever wins that test, write down the plan and the monthly cost, since both vendors price in ways that surprise people after a month of heavy use.

Before you pay

Write down three numbers from your trial: how many minutes the agent took to produce a diff you would merge, how many times you had to correct it, and what the session consumed in credits, messages or dollars. Do it once on a free plan for each tool. If a paid plan changes any of those numbers, you have a reason to pay. If it does not, stay free.

Related pages

Questions

Is Codex free?

OpenAI's pricing page includes Codex in ChatGPT Free, Go, Plus, Pro, Business, Edu and Enterprise plans. Free is $0, Go is $8 a month and Plus is $20, with the lighter plans limited to quick tasks.

Is Cursor or Codex open source?

Codex's CLI repository is Apache-2.0 licensed. Cursor is a proprietary desktop product.

Can Cursor use OpenAI models?

Yes. Cursor's homepage says you can choose between models from OpenAI, Anthropic, Gemini, SpaceXAI and Cursor. Third-party models are billed at API list price on top of the plan.

Can I run Codex inside Cursor?

OpenAI's README says to install Codex in your IDE for VS Code, Cursor and Windsurf, so yes, as an extension.

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Sources

  1. cursor.com/pricing
  2. cursor.com/docs
  3. cursor.com/docs/agent/overview
  4. cursor.com/cli
  5. github.com/openai/codex
  6. raw.githubusercontent.com/openai/codex/main/README.md
  7. developers.openai.com/codex/pricing
  8. developers.openai.com/codex/cli

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