Cursor vs Codex: Editor First or Agent First

Pick Cursor if you want one AI editor where you write, review, and delegate code, with models from several providers. Pick Codex if you want OpenAI's agent inside whatever editor you already use, billed through the ChatGPT plan you may already have. That is the short answer to "cursor vs codex", and it holds even though the two products now overlap more than most comparisons admit.

The overlap is real. Both have a terminal CLI. Both run agents in cloud environments while your laptop sleeps. Both can be started from Slack or GitHub. A year-old comparison that calls Cursor "the editor" and Codex "the cloud agent" is describing products that have since grown into each other.

What's left comes down to where the AI sits when you start:

• Cursor starts in the editor. It is an editor, and agents (local, cloud, CLI) are reached from it.
• Codex starts with the agent. It has no editor of its own. It plugs into yours, including Cursor.
• Models: Cursor offers several providers. Codex is built around OpenAI's models.
• Billing: Cursor is a Cursor subscription with included usage plus usage-based overage. Codex comes with ChatGPT plans, with usage limits.
• Source: the Codex CLI is open source. Cursor is not.

Quick comparison

Where each one sits

Cursor: the editor is the product

Cursor's own docs say it "is based upon the VS Code codebase," and migration from VS Code brings over your extensions, themes, settings, and keybindings. You open a folder, you type, and the AI is woven into that loop: tab completion, inline edits, an agent panel in the sidebar.

Everything else Cursor ships radiates out from that editor. The agent you chat with in the sidebar runs locally. If you pick "Cloud" in the dropdown under the agent input, the same request goes to a cloud agent instead. The editor is home base.

Codex: the agent is the product

Codex has no editor. OpenAI's IDE docs list the editors it works in: VS Code, Cursor, Windsurf (since renamed Devin Desktop), Xcode, and JetBrains IDEs. The idea is that you keep your editor and add an agent beside it.

So the agent is the constant and the surface is the variable. The same Codex shows up in the CLI, the IDE extension, the ChatGPT desktop app, ChatGPT on the web, and Codex Cloud. Its docs frame the choice as local work "for fast, hands-on iteration," or delegating "a longer task" to the cloud.

One detail makes the "versus" softer than it sounds: Codex runs inside Cursor. You can install the Codex extension in Cursor's editor and use both. Plenty of people do.

Where they converged

This is the section most comparisons skip, and it's the reason the choice is less dramatic than it used to be.

Both have a CLI. The Codex CLI is where Codex started. Cursor now has its own CLI with three modes: Agent, Plan, and Ask. It works in interactive sessions and in scripts and CI pipelines.

Both run agents in the cloud. Cursor's cloud agents "run in isolated VMs in the cloud with full development environments." They can build, test, and open pull requests. Codex Cloud gives each task its own workspace that "can keep working while your computer is asleep."

Both hand work from local to cloud. In Cursor's CLI you prefix a message with & to push the conversation to a cloud agent. In Codex, the IDE extension and CLI can both delegate to Codex Cloud.

Both reach outside the editor. Cursor cloud agents can be started from the web, the iOS app, Slack, GitHub or Bitbucket comments, Linear, and an API. Codex can be reached from ChatGPT on web and desktop, Slack, Linear, and @codex comments on GitHub pull requests.

If your mental model was "Cursor for local, Codex for delegation," drop it. Both do both.

What still separates them

The editor itself

This is the biggest remaining difference, and it cuts both ways.

If you want the AI built into the editor's core behavior, Cursor has the edge, because it controls the editor. Completions, inline diffs, and agent review all live in one product designed around them. Codex in VS Code is an extension working inside someone else's editor.

If you don't want to change editors, Codex has the edge. A JetBrains or Xcode user can use Codex without moving. Cursor asks you to adopt Cursor.

Model choice

Cursor's models page lists models from OpenAI, Anthropic, Google, Z.ai, Moonshot, and Meta alongside Cursor's own Grok and Composer models (the Grok models are jointly trained with SpaceXAI), plus an "Auto" router with Cost, Balance, and Intelligence modes. Cursor also notes that your choice of model "affects how quickly your included usage is consumed."

Codex is built around OpenAI's models. The CLI's advanced config can point it at other providers or local models, but that's a setup job rather than a menu. The upside of the narrower default is that OpenAI tunes the agent and the model together.

Here's the twist: OpenAI's models are in Cursor's list too. If you like OpenAI's models but want to switch to a Claude or Gemini model for some tasks, Cursor lets you do that from one place.

What the billing unit rewards

This is the most practical difference for most people.

Cursor sells its own plans. Per its pricing page, "every plan includes a set amount of model usage," and beyond that you can pay for on-demand usage, "billed in arrears." Cloud agents "are charged at API pricing for the selected model," and Cursor asks you to set a spend limit the first time you use them. The bill tracks what you actually consume, and expensive models use up your included usage faster.

Codex rides on ChatGPT. OpenAI's Codex pricing docs say Codex is included in the ChatGPT Free, Go, Plus, Pro, Business, Edu, and Enterprise plans, though on Free and Go it is limited to one model in the ChatGPT desktop app, subject to rollout. Included usage is capped by plan limits rather than billed per token. Past those limits, Plus and Pro users can buy credits, Business, Edu, and Enterprise workspaces on flexible pricing can buy workspace credits, and API-key usage is billed at API rates.

So the billing model rewards different habits. Cursor rewards choosing models carefully. Codex rewards anyone who already pays for ChatGPT, because the agent comes with the subscription. Plan details change often on both sides, so check both pages before you decide.

Open source and ownership

The Codex CLI is open source under the Apache-2.0 licence. You can read the code, file issues, and see exactly what runs on your machine. Cursor doesn't publish its source.

Ownership changed recently on the Cursor side. Cursor announced it had joined SpaceX on August 14, 2026, and said the move gives it compute "to build stronger models that are also more economical to run." Codex is built by OpenAI. Neither fact changes how the tools work today, but some teams' procurement and vendor reviews will care.

Which should you pick

Use your situation, not a feature list. Feature lists are nearly identical now.

Pick Cursor if:

1. You're happy to work in a VS Code-based editor and want the AI built into it, not added on.
2. You want to switch between models from different providers without changing tools.
3. You prefer usage-based billing that shows what each model costs you.
4. You want one product that covers the editor, CLI, and cloud agents under one account.

Pick Codex if:

1. You already pay for ChatGPT and want an agent that comes with it.
2. You use JetBrains, Xcode, or plain VS Code and don't want to switch editors.
3. You want an open-source CLI you can audit.
4. You mostly hand off tasks and review the results rather than editing line by line.

Use both if you like Cursor's editor and want Codex as a second agent inside it. The Codex extension runs in Cursor, so this costs you a sidebar panel, not a migration.

If you're also weighing a terminal-first agent from Anthropic, Claude Code vs Codex covers that matchup. For the wider field, see Cursor alternatives and OpenAI Codex alternatives.

If the setup is where you stall

Cursor and Codex both assume you can clone a repo, install dependencies, and read what the agent wrote. Many people who search this comparison aren't there yet. They saw an AI app someone built with one of these tools and just want to run it.

That's the gap Taku is built for: it mirrors an AI app or workflow someone already got working into a desktop workspace where you can run it, edit it, and save it as your own. Taku is in Beta, and the Mac app is available now.

FAQ

Is Codex the same as Cursor?

No. Cursor is an AI code editor based on VS Code that also offers a CLI and cloud agents. Codex is OpenAI's coding agent, which runs in a CLI, an IDE extension, the ChatGPT apps, and the cloud, but has no editor of its own.

Can I use Codex inside Cursor?

Yes. OpenAI lists Cursor as one of the editors the Codex IDE extension supports. You can run Codex in Cursor next to Cursor's own agent.

Does Cursor have a CLI like Codex CLI?

Yes. Cursor's CLI has Agent, Plan, and Ask modes, works in scripts and CI, and can push a conversation to a cloud agent when you prefix a message with &.

Is Codex free?

OpenAI says Codex is included in ChatGPT plans, including Free and Go, with usage limits that vary by plan. On Free and Go it is limited to one model in the ChatGPT desktop app, subject to rollout. See OpenAI's Codex pricing page for current limits.

Can I use OpenAI models in Cursor?

Yes. OpenAI is one of several providers in Cursor's model list, alongside Anthropic, Google, and others, plus Cursor's own Grok and Composer models.

Is Codex CLI open source?

Yes. The Codex CLI is published on GitHub under the Apache-2.0 licence. Cursor's editor and CLI are not open source.

Who owns Cursor now?

SpaceX. Cursor announced on August 14, 2026 that it had joined SpaceX. The product continues under the Cursor name.