Codex CLI vs Codex App vs VS Code Extension: Which One Should You Use?

Searches such as “Codex CLI vs Codex App” can be confusing because “Codex” is no longer the name of just one model or one interface. Today, Codex is OpenAI’s coding agent, and you can use it from several surfaces: the terminal, the Codex view in the ChatGPT desktop app, an IDE extension, or cloud workflows.

Quick answer: choose Codex CLI for terminal-first work, SSH, scripts, and CI; choose the Codex view in the ChatGPT desktop app for visual review, managed worktrees, and several tasks running in parallel; choose the VS Code extension when you want Codex beside the code you are actively editing. Most developers do not need to pick only one—the three interfaces can complement one another.

A naming note matters here. Many people still call the desktop product the Codex App. OpenAI has since folded that experience into the newer ChatGPT desktop app, where Codex appears as its own view. This article uses “Codex App” as shorthand for that desktop Codex experience when matching common search terms.

Codex CLI, desktop app, and VS Code extension at a glance

Dimension	Codex CLI	Codex in the ChatGPT desktop app	Codex VS Code extension
Main interface	Terminal TUI and commands	Dedicated graphical Codex view	Sidebar and in-editor workflow
Best for	Terminal users, SSH, automation, CI	Parallel tasks, visual diffs, project oversight	Focused edits while coding in the IDE
Context	Current repository, files, commands, explicit instructions	Project, conversations, files, branches, worktrees	Open files, selections, editor context, repository
Parallel work	Multiple terminals, sessions, or manually managed worktrees	Native multi-thread workflow with app-managed worktrees	Multiple chats/tabs, with less project-level orchestration than the app
Review experience	Text-first review and /review	Visual diff and thread-by-thread review	Diff and review beside the edited code
Automation	Strong: codex exec, shell scripts, pipelines	Strong for scheduled app Automations and supervised multi-agent work	Best for interactive work; not the natural choice for headless CI
Remote/headless use	Excellent	Desktop session required for local UI	IDE session required
Git worktrees	Use normal Git commands or your own tooling	Built-in managed worktrees for isolated tasks	Works with your repository/worktrees, but does not replace the app’s orchestration UI
Authentication	ChatGPT sign-in or API key for local work	ChatGPT sign-in or API key for local work	ChatGPT sign-in or API key for local work
Learning curve	Highest if you are not comfortable in a terminal	Lowest for visual task management	Lowest for developers already living in VS Code

The most important point is that this is mainly a workflow comparison, not a contest between three different coding models. Model availability can vary by plan and configuration, but the interface determines how you give context, inspect changes, parallelize work, and automate repeated tasks.

Is Codex a CLI or an IDE?

Codex is neither only a CLI nor a standalone IDE. It is OpenAI’s coding agent and product family. Codex can inspect repositories, edit files, run commands, review changes, and carry out software tasks through different interfaces:

• Codex CLI runs in a terminal.
• Codex in the ChatGPT desktop app provides a graphical project and agent-management experience.
• The Codex IDE extension brings the agent into VS Code and compatible editors.
• Codex cloud workflows can execute delegated tasks in isolated environments.

The VS Code extension operates inside an IDE, but Codex itself is not an IDE. It does not replace your editor, compiler, debugger, Git host, or deployment platform. It coordinates work across those tools.

What is Codex CLI?

Codex CLI is the terminal interface for working with the Codex agent in a local repository. You start it from a project directory, describe the result you need, and let it inspect files, propose or apply edits, run commands, and report what changed.

It is the best fit when your normal work already happens in a shell, when the repository lives on a remote machine, or when you want to turn a useful prompt into a repeatable command.

Where Codex CLI is strongest

Terminal-native control. You stay in the same environment as Git, package managers, test runners, containers, and deployment commands. That makes it easy to inspect what the agent is doing and combine Codex with existing tooling.

SSH and remote development. A graphical desktop app is unnecessary when you are connected to a server, development container, or cloud VM. If a shell is available, the CLI is usually the most direct interface.

Scripts and CI. Interactive sessions are useful, but codex exec is the major differentiator. It can run a task non-interactively, so the same pattern can be placed in a shell script or pipeline.

Explicit session control. Commands such as /status, /compact, and /review make it easy to inspect the session, compress a long conversation, or request a review without leaving the terminal.

Where Codex CLI is less convenient

The CLI is text-first. Large diffs, several simultaneous tasks, and branch relationships are often easier to understand visually. You can open more terminals and create worktrees yourself, but you are responsible for that organization.

It also assumes basic comfort with paths, shell commands, Git state, and permission prompts. That control is useful for experienced terminal users, but it can feel like overhead for someone who mainly works through an editor UI.

Install and start Codex CLI

The current official installer command is:

curl -fsSL https://chatgpt.com/codex/install.sh | sh

An npm installation is also commonly used:

npm install -g @openai/codex

Then open a repository and start Codex:

cd your-project
codex

For a non-interactive task:

codex exec "summarize the repository structure and list the five areas that need the earliest risk review"

For a temporary run that should not persist session state:

codex exec --ephemeral "inspect the failing tests, explain the most likely root cause, and propose the smallest safe fix"

Useful in-session commands include:

Command	What it is for
/status	Check the active model, account, permissions, and usage information
/compact	Summarize earlier context so a long session can continue more efficiently
/review	Ask Codex to review the current changes
/model	Change the model or reasoning settings available to the session
/permissions	Inspect or change what Codex is allowed to do
/init	Create repository instructions that help Codex follow local conventions

What is the Codex App now?

The experience commonly called the Codex App is now the Codex view inside the ChatGPT desktop app. It is separate from ordinary chat history and is designed around software projects, coding tasks, changes, and agent threads.

Its advantage is not that it suddenly writes better code than the CLI. Its advantage is that it makes several pieces of work visible and manageable at once.

Where the desktop Codex experience is strongest

Managed parallel work. You can delegate separate tasks to separate threads. App-managed Git worktrees isolate those tasks so two agents do not have to edit the same working directory.

Visual diffs. Reviewing changed files, moving between task threads, and deciding what to keep is easier when the changes are presented graphically.

Project-level oversight. The app is suited to work such as “upgrade this dependency,” “fix the failing integration test,” and “prepare the release notes” running as distinct efforts rather than one long terminal conversation.

Automations. Desktop Automations can run recurring work on a schedule. This is useful for jobs that still benefit from a visible history and human supervision, such as periodic issue triage or repository health checks.

Continuity with other Codex surfaces. The desktop experience can reuse relevant history and configuration, reducing the friction of moving between terminal, editor, and app workflows.

Where the desktop app is less convenient

The app is not a replacement for a headless command. It is a poor fit for a bare server, an SSH-only environment, or a pipeline step that must run without a person opening a desktop session.

It can also be unnecessary for a small, focused change. When you already know the file and are actively editing it, opening another project-management surface may add more context switching than value.

What is the Codex VS Code extension?

The Codex IDE extension places Codex next to the files you are editing. It can use selected text, open files, and editor context, show proposed changes in place, and let you review a diff without leaving the IDE.

It is the most natural choice when your workflow is: read code, make a small change, run a test, inspect the result, and continue editing.

Where the VS Code extension is strongest

Immediate editor context. Selecting a function and asking for a refactor is faster than describing the file and line from scratch.

In-place review. You can compare the proposed edit against the surrounding code and make manual adjustments immediately.

Low context switching. Documentation, search, code navigation, debugging, and Codex remain in one window.

Local-to-cloud handoff. Depending on the task and account configuration, work can be kept local or delegated while you continue in the editor.

Where the extension is less convenient

An IDE extension is interactive by design. It is not the best interface for SSH-only servers or CI jobs. It also gives less of a command-center view than the desktop app when many independent tasks and branches are active at once.

The extension can still work with a repository that uses Git worktrees, but the app is the surface specifically designed to create and present agent worktrees as a coordinated parallel workflow.

Codex CLI vs Codex App: the practical differences

1. The interaction loop

In the CLI, the loop is command-oriented:

1. Open a repository in the terminal.
2. Describe the task.
3. Approve commands or edits according to the permission mode.
4. Read text output and inspect the Git diff.
5. Continue with another prompt or shell command.

In the desktop app, the loop is task-oriented:

1. Open a project.
2. Create one or more task threads.
3. Let each thread work in its own branch or managed worktree.
4. Review visual diffs and results.
5. merge, copy, or continue the selected work.

Neither loop is universally better. The CLI minimizes distance between the agent and your shell. The app minimizes the cognitive cost of tracking multiple tasks.

2. Parallel agents and worktrees

You can run several Codex CLI sessions in several terminals. For safe parallel edits, however, each session should have an isolated branch or working directory. That normally means creating and managing Git worktrees yourself.

The desktop app turns this into a first-class workflow. It can create app-managed worktrees, associate them with task threads, and present their changes separately. For a large repository with several independent tasks, this is one of the clearest reasons to choose the app.

For one task at a time, the advantage is smaller. A single CLI session in the current branch is often simpler.

3. Diff and review

The CLI can review changes and generate a useful text report. You can also use your usual tools such as git diff, a terminal diff viewer, or your editor.

The app makes changed files and task threads easier to scan visually. The VS Code extension goes one step closer to the code by placing the diff in the editor. Choose based on where you prefer to make the final judgment:

• terminal and Git tools: CLI;
• project-level visual review: desktop app;
• line-by-line review beside the source: IDE extension.

4. Automation and CI

The CLI is the clear choice for headless automation. codex exec can be called from a script and can return output that another step consumes.

For example:

codex exec "review the current branch for release-blocking risks and output a concise Markdown report" > codex-review.md

The desktop app’s Automations solve a different problem: scheduled agent work that remains visible in a desktop workflow. They are useful when a person will inspect the result, but they should not be confused with a portable CI command.

5. Remote environments

For SSH, containers without a desktop, and remote build hosts, choose the CLI. The app and IDE extension can still participate in broader workflows, but the terminal is the interface that travels most easily with the environment.

Codex CLI vs VS Code extension

The CLI and VS Code extension both work locally, so the deciding factor is usually not capability but where you want the conversation and review to live.

Choose Codex CLI when…	Choose the VS Code extension when…
You spend most of the day in a terminal	You spend most of the day in the editor
You work over SSH or in headless environments	You want selected code and open files used as immediate context
You need scripts, codex exec, or CI integration	You want edits and diffs shown beside the source
You prefer shell tools for Git, tests, and inspection	You want navigation, debugging, and Codex in one window
You want explicit command and permission control	You want the lowest-friction path for focused interactive edits

A popular hybrid is to run Codex CLI in VS Code’s integrated terminal. That gives you terminal commands and codex exec while keeping the repository and diffs open in the editor. The dedicated extension is still more convenient when selected text and editor state should become context automatically.

One-minute decision guide

Choose Codex CLI if most of these are true:

• You are comfortable in a terminal.
• You use SSH, remote containers, or cloud VMs.
• You want repeatable commands, shell scripts, or CI integration.
• You prefer your own Git and diff tools.
• You normally work on one explicit task per session.

Choose Codex in the ChatGPT desktop app if most of these are true:

• You want several agent tasks visible at the same time.
• You need isolated Git worktrees without managing each one manually.
• You prefer visual diffs and a project-level command center.
• You want scheduled Automations with an inspectable history.
• You supervise broad work across a large repository.

Choose the Codex VS Code extension if most of these are true:

• You want help while actively reading and editing code.
• Selected text and open files should become context immediately.
• You prefer to review changes beside the source.
• You want minimal switching between the agent and the IDE.
• Your tasks are focused, interactive, and editor-driven.

Use more than one when the work changes shape. A practical pattern is to explore and edit in VS Code, launch broad or parallel work in the desktop app, and move stable repeated tasks into codex exec commands.

Four practical workflows

Workflow 1: a focused bug fix

Use the VS Code extension. Select the failing function, include the error, ask Codex to identify the smallest safe change, then review the in-editor diff and run the relevant test.

Example prompt:

Trace this error to its root cause. Change only the callback idempotency logic and its directly related test. Preserve normal callback behavior, run the smallest relevant test, and stop when it passes.

Workflow 2: several independent repository tasks

Use the desktop app. Create separate threads for the dependency upgrade, flaky test, documentation update, and release notes. Keep each task in its own worktree, then review the diffs independently.

Example prompt:

Update this dependency with the smallest compatible code change. Do not upgrade unrelated packages. Run only the tests that cover the affected integration and report any remaining migration risk.

Workflow 3: a repeatable repository check

Use Codex CLI and turn the instruction into a scriptable command:

codex exec --ephemeral "inspect the changes in this branch, identify release-blocking issues, and return a short Markdown report with file references"

Workflow 4: remote server maintenance

Use Codex CLI over SSH. Keep permissions narrow, ask it to inspect before changing anything, and require the exact verification command in the final report.

Example prompt:

Diagnose why the service fails after deployment. Read the service logs and configuration first. Do not restart or modify production until you have explained the most likely cause and the smallest reversible fix.

Do Codex CLI and the Codex App use the same subscription and quota?

For local Codex work, the CLI, desktop app, and IDE extension can sign in with a ChatGPT account. The included usage is governed by the ChatGPT plan and current Codex limits rather than by buying a separate “CLI subscription” and “App subscription.” ChatGPT Work and Codex usage can also draw from the same plan-level allowance.

There is an important second path: local Codex clients can use an API key. API-key usage is billed at API rates and is separate from included ChatGPT-plan usage. Cloud-only capabilities require ChatGPT sign-in, so API-key mode is not identical to the full account-based experience.

Because plan limits, credit options, supported models, and promotions can change, check the current pricing and account status instead of relying on an old numeric quota. In the CLI, /status is the quickest way to inspect current session and usage information.

Legacy OpenAI Codex vs the new Codex CLI

The name “OpenAI Codex” has referred to two different generations of products:

Legacy Codex (2021–2023) was primarily a family of code-generation models and an API. Models such as the older Codex series translated natural-language instructions into code. Those legacy Codex models were later deprecated.

Codex CLI and today’s Codex product began as a newer coding-agent experience. The agent does more than generate a snippet: it can inspect a repository, read and write files, run tools, execute tests, review changes, and continue a multi-step task under permissions you control.

So “OpenAI Codex vs Codex CLI” is not a comparison between two current interfaces. It is usually a comparison between the historical Codex model/API and the current agent that can be used from the terminal, desktop, IDE, and cloud.

Optional: using an alternative API provider with Codex

The neutral default is simple: sign in with ChatGPT when you want plan-based Codex access, or use an OpenAI API key when you want API billing. Some developers also evaluate third-party API routing when they need different model availability, billing methods, regional payment options, or a separate usage pool.

BetterToken provides an OpenAI-compatible route for supported Codex clients. This does not make the CLI, desktop app, and VS Code extension interchangeable: their provider and credential settings can differ. Follow the current guide for the client you actually use instead of copying an old configuration from another surface:

• BetterToken guide for Codex CLI and the desktop app
• BetterToken guide for the Codex VS Code extension

Before switching, compare current model support, pricing, latency, data handling, retries, and feature compatibility. A third-party route can be useful, but it should not be presented as a guaranteed way to remove every rate limit or reduce every workload’s cost.

Frequently asked questions

Is Codex a CLI or an IDE?

Codex is a coding agent, not a standalone IDE. It is available through a CLI, a desktop Codex view, IDE extensions, and cloud workflows. The VS Code extension runs inside an IDE; the CLI runs in a terminal.

Does Codex have a CLI?

Yes. Codex CLI is the official terminal interface. It supports interactive repository work and non-interactive automation through codex exec.

What is the difference between Codex CLI and the Codex App?

The CLI is terminal-first and best for SSH, scripting, CI, and explicit command control. The desktop Codex experience is visual and best for managing parallel tasks, app-managed worktrees, and graphical diffs.

What is the difference between Codex CLI and the VS Code extension?

The CLI keeps the interaction in the terminal and is easier to automate. The extension uses editor context automatically and shows edits beside the source. Both can work on the same repository.

Can I use Codex CLI inside VS Code?

Yes. Open VS Code’s integrated terminal in the repository and run codex. This is a useful middle ground between a pure terminal workflow and the dedicated IDE extension.

Do the CLI and desktop app share the same quota?

When both use the same ChatGPT account, their included Codex use is governed by the account’s current plan and limits, not by separate interface subscriptions. API-key calls are billed separately at API rates.

Do the CLI, desktop app, and extension share configuration?

Some account, history, and repository instructions can carry across the Codex ecosystem, but client-specific provider or credential settings are not always identical. Check the current documentation for the interface you are configuring.

Which interface is best for Git worktrees?

The desktop app provides the most integrated experience because it can create and display app-managed worktrees for separate task threads. The CLI works well with standard Git worktrees when you prefer to create and manage them yourself.

Which interface is best for CI/CD?

Codex CLI, specifically non-interactive codex exec, is the natural choice for scripts and CI. Keep permissions restricted, make output machine-readable where appropriate, and verify changes with deterministic tests.

Can I switch between the three interfaces?

Yes. A common workflow is to start a focused change in the IDE, delegate independent work through the desktop app, and use the CLI for remote or automated tasks. Always check branch and worktree state before continuing the same change from another interface.

Final recommendation

There is no single winner in Codex CLI vs Codex App vs VS Code extension:

• Codex CLI is the most portable and automatable.
• Codex in the ChatGPT desktop app is the best command center for parallel agent work.
• The VS Code extension is the smoothest companion for day-to-day editing.

Start with the interface that already matches your work environment. Add another only when you encounter a real limitation: move to the CLI for SSH or automation, to the desktop app for parallel worktrees and visual oversight, or to the IDE extension for immediate editor context. The best Codex setup is usually a small toolchain, not a forced choice.

Sources and further reading

• OpenAI: Codex CLI
• OpenAI: Codex IDE extension
• OpenAI: ChatGPT desktop app
• OpenAI: Git worktrees
• OpenAI: Non-interactive mode and codex exec
• OpenAI: Codex authentication
• OpenAI: Codex pricing and usage
• OpenAI Help: Moving to the new ChatGPT desktop app
• OpenAI: Introducing Codex