Cursor vs Codex
Cursor is the IDE-native coding agent. Codex is OpenAI’s terminal CLI, with optional cloud handoff. Pick the surface you already live in. There is no universal winner.
Cursor vs Codex
IDE agent vs OpenAI CLI.
critique.sh
Pick Cursor if you live in the IDE and want Agent to search, edit, run the terminal, and checkpoint next to the file tree. Pick Codex if you want OpenAI’s terminal/CLI loop (codex), including codex exec for scripts and optional codex cloud handoff. Cursor vs Codex is a surface and vendor decision. There is no universal winner.
People search Cursor vs Codex because both write code, both run commands, and both can sit in a daily coding loop. The query is not “which model is smarter.” It is “where do I sit while the agent works, and whose product am I paying for?”
Cursor’s job is an AI IDE. Codex’s job is OpenAI’s coding agent in the terminal, with other Codex surfaces if you want them. If you already live in VS Code-shaped editors, Cursor is the default. If you already live in a shell and a ChatGPT plan, Codex is the default. Adjacent IDE vs CLI searches include Claude Code vs Cursor.
What Cursor vs Codex actually means
Treat them as two authoring products, not two scores. Cursor Agent is instructions plus tools plus the model you pick, orchestrated inside Cursor. Codex CLI is a local agent that inspects your repo, edits files, runs tools already on the machine, and stays in one terminal session. Overlap is real. The product shapes are not.
You can even run both. OpenAI’s Codex README documents an IDE extension for VS Code, Cursor, and Windsurf. That does not collapse the comparison. Cursor Agent is still Cursor’s editor loop. codex is still OpenAI’s CLI. Installing Codex inside Cursor is a stacking choice, not proof that one replaced the other.
What Cursor Agent actually is
Cursor documents Agent as the assistant that completes coding tasks independently, runs terminal commands, and edits code. Open it from the side pane with Cmd+I on Mac or Ctrl+I on Windows and Linux. You type a task. Agent explores the repo, proposes edits, and shows diffs as they happen.
Official Agent docs split the system into three parts: instructions (system prompt and rules), tools, and the model you pick. Tools include search, web, rules fetch, file read (including images), file edit, shell, browser control, image generation, and clarifying questions. Cursor states there is no published cap on tool calls per task.
Help docs add modes. Agent builds, refactors, and fixes with writes enabled. Ask is read-only exploration. Plan is for multi-file work you want to approve before edits. Debug is for bugs that need runtime evidence. Use Agent for most implementation. Switch modes when you want less aggression, not because one mode is a different product.
Checkpoints snapshot modified files before significant Agent edits. They live locally, separate from Git. Cursor’s docs say to restore from the chat timeline to undo Agent turns, and to use Git for durable history. You can queue follow-ups while Agent works, or send immediately with Cmd+Enter to redirect the current turn.
Cursor also documents an Agents Window (Cursor 3, generally available 2 April 2026) for managing agents across local, cloud, and remote SSH workspaces, plus parallel cloud agents. The classic editor remains the VS Code-extension, split-pane IDE. You can keep both open. For this comparison, the search intent is still the IDE Agent loop, not a remote execution pitch.
What OpenAI Codex CLI actually is
OpenAI’s Codex CLI docs describe a local terminal agent: inspect code, make changes, run commands, and automate repeatable work without leaving the terminal. Install with the official script (curl -fsSL https://chatgpt.com/codex/install.sh | sh), npm (@openai/codex), Homebrew, or a GitHub release binary. Then cd into a project and run codex.
First run: Sign in with ChatGPT, or another documented method. OpenAI recommends ChatGPT Plus, Pro, Business, Edu, or Enterprise for Codex as part of the plan. An API key is a documented alternative with extra setup. Interactive codex is the default. codex exec is the non-interactive path for scripts and pipelines.
In session you pick model and reasoning effort (/model), permissions (/permissions), and can run /review against uncommitted changes, a commit, or a base branch without writing the tree. /init writes an AGENTS.md. Git checkpoints around a task are part of OpenAI’s stated best practices so you can revert. codex resume reopens a saved chat.
OpenAI’s GitHub README splits surfaces: CLI for local terminal work, IDE extension, desktop app (codex app), and Codex Web at chatgpt.com/codex for the cloud-based agent. CLI docs include codex cloud to browse chats, submit work to a configured environment, and apply the result locally. If that OpenAI CLI/cloud loop is what you want, Codex is the match. This page does not treat a third vendor’s remote runtime as a substitute.
Cursor vs Codex at a glance
| Cursor | Codex | |
|---|---|---|
| Job | IDE-native Agent: search, edit, run terminal, checkpoint, and iterate next to the file tree. | OpenAI’s local coding agent: inspect, edit, run installed tools, automate from the terminal. |
| Primary surface | Cursor desktop Agent side pane (Cmd+I / Ctrl+I). Agents Window, Cursor CLI, web, and mobile as Cursor documents them. | Terminal CLI (codex). Also IDE extension, desktop app, and Codex web/cloud as OpenAI documents them. |
| Who authors | Cursor Agent with the model you pick, including Cursor’s own Composer models inside Cursor. | OpenAI Codex on ChatGPT sign-in or documented API-key auth. Model and effort via /model. |
| Review in-product | You review diffs, checkpoints, and editor UX. Ask / Plan / Debug change how aggressive the write loop is. | /review inspects uncommitted work, a commit, or a base branch without writing. Still the same product. |
| Automation | Agent in the editor, queued follow-ups, Cursor CLI where Cursor documents it. Checkpoints for undo. | codex exec for non-interactive scripts and CI. codex cloud to hand work off and apply it locally. |
| When it wins | You live in the IDE and want the write/run/fix loop next to files, diffs, and extensions. | You want OpenAI’s agent CLI, headless exec, and the documented CLI/cloud loop on a ChatGPT plan. |
| Install | Install the Cursor app. Open a folder. Open Agent. Pick a model. | Official installer, npm install -g @openai/codex, Homebrew, or a GitHub release. Binary codex. |
When Cursor wins
Cursor wins when the bottleneck is implementation velocity inside an editor you already refuse to leave. Diffs appear beside the file. Tab completions, Agent, Ask, Plan, and Debug share one workspace. Extensions, split panes, and the file tree stay put. That is the product.
It also wins when you want Cursor’s model mix in that same pane: Cursor-tuned models such as Composer plus third-party models on the Other Models usage pool. You are paying Cursor for orchestration, checkpoints, and IDE UX, not only for a chat window glued to a folder.
Pick Cursor if your team’s review already happens in the editor (you read the diff, you restore a checkpoint, you commit). Agent can keep calling tools until the task ends. That is useful. It is not an independent reviewer. It is still the same Agent that wrote the patch.
When Codex wins
Codex wins when the bottleneck is a terminal-native OpenAI loop. You already think in cd, git, tests, and scripts. You want one command, codex, against the local repo. You want /permissions and /model in the same TUI. You want codex exec in a pipeline without opening a GUI.
It also wins when you already pay for ChatGPT and want Codex included in that plan, or when you want OpenAI’s documented cloud handoff from the CLI. /review is a dedicated pass. Use it. Do not confuse it with a separate company grading the homework. It is Codex inspecting Codex-shaped work inside the Codex product.
Pick Codex if you need headless automation more than an IDE, or if your muscle memory is Claude Code-shaped terminals and you want OpenAI’s version of that contract. Skip Codex as the primary tool if you will spend the whole day in Cursor’s editor anyway. Then you are paying for a CLI you will ignore.
Pricing, as the vendors publish it
Cursor’s help pricing table (August 2026) lists Hobby (free, limited Other Models usage), Pro at $20/mo with $20 Other Models usage included, Pro+ at $60/mo with $70, Ultra at $200/mo with $400, Teams Standard at $40/user/mo, and Teams Premium at $120/user/mo. Other Models is the third-party pool. Cursor Models (including Cursor Grok and Composer) is a separate included pool on paid individual plans. Enterprise is custom. Confirm live numbers on cursor.com/pricing before you buy. Taxes are extra on the published individual list prices.
OpenAI documents Codex as included in ChatGPT Free, Go, Plus, Pro, Business, and Enterprise, with usage that shares a window with ChatGPT work. Plus and Pro publish per-model local-message and cloud-task bands over a five-hour window. API-key auth is usage-based token billing and, per OpenAI’s pricing docs, does not include cloud-based Codex features. ChatGPT list prices move. Read developers.openai.com/codex/pricing and chatgpt.com/codex/pricing rather than copying a blog’s screenshot.
Cursor vs Codex on price is not “$20 vs $20.” Cursor Pro and ChatGPT Plus can both sit near $20/mo and still meter different things: Cursor’s two usage pools inside an IDE subscription, versus Codex usage on a ChatGPT plan or API tokens. Teams should compare the plan they already have, then the overage story, not a fake blended hourly rate.
- 1Do you live in the editor and want Agent next to the file tree?Use Cursor Agent. Keep the model picker inside Cursor. Review diffs and checkpoints yourself.
- 2Do you want OpenAI’s terminal agent,
codex exec, and optional cloud handoff?Use Codex CLI (codex). Sign in the way OpenAI documents. Use/reviewbefore you commit if you want Codex’s own pass. - 3Are you trying to pick a winner on a public coding benchmark?Stop. Neither vendor’s marketing table is your repo. Clone a real task and time the loop you will actually use.
- 4Could you run both?Yes. Codex has an IDE extension. Cursor is still the IDE agent. Stacking them is allowed. Paying twice without a reason is not.
After you pick Cursor or Codex
Keep the author you already like. Cursor and Codex are writers. Writers are allowed to be fast. They are also allowed to miss tests, leak secrets, and declare victory on a green story. After the agent stops, you still need an independent finish pass that did not write the patch.
That finish pass is Critique: the @critiquedotsh/cli package, binary critique. Install it, point it at the repo the author just touched, and let it review with evidence the author cannot treat as its own homework. You do not switch IDEs. You do not replace codex. You add a sidecar after the builder.
Install Critique CLI
npm install --global @critiquedotsh/cliPackage @critiquedotsh/cli. Binary critique. Not the author agent.
Run Critique in the repo
cd your-repo && critiqueIndependent review after Cursor Agent or Codex finishes a change.
If you instead want Critique to author the change and force review before “done,” that is a different binary: CritiqueCode (@critiquedotsh/harness, critique-code). Do not install it as a Cursor plugin or as a Codex replacement by accident. Read Introducing CritiqueCode only if you want that author contract. Most Cursor vs Codex shoppers should stay on the author they picked and add critique. More head-to-heads live on the comparisons hub.