--- title: "Claude Code vs Codex: Where Each One Wins for Me" author: "Ecem Karaman" source: "https://aiwithecem.com/guides/claude-code-vs-codex" published: 2026-09-17 tools: ["Claude","Codex"] topics: ["AI Agents","Building","Workflows"] --- # Claude Code vs Codex: Where Each One Wins for Me I use both, often on the same project, and I built this website in Codex. This isn't a benchmark. It's where each one earns its place in my week, plus the use cases where someone else might choose differently. **Product details checked against [Claude Code's docs](https://code.claude.com/docs) and [OpenAI's Codex docs](https://learn.chatgpt.com/docs) on September 17, 2026.** > **In this guide** > > 1. [The short version](#the-short-version) > 2. [Where Claude Code wins for me](#where-claude-code-wins-for-me) > 3. [Where Codex wins for me](#where-codex-wins-for-me) > 4. [Where they're closer than people think](#where-theyre-closer-than-people-think) > 5. [Which one fits your situation](#which-one-fits-your-situation) > 6. [Using both without starting over](#using-both-without-starting-over) ## The short version > #### Claude Code > > When I'm building or tuning a system: skills, agents, hooks, MCP servers and plugins. > > #### Codex > > When I'm building something visual and want to see, point at and fix it in one place. > > #### Either one > > When the task has a clear finish line, like fixing failing tests or shipping a page. ## Where Claude Code wins for me **Customizing how the agent works.** Skills, subagents, hooks, plugins and MCP servers are all first-class, and `/context` and `/skill-doctor` show what each one costs. When I want to shape the workflow itself, this is where I go. **Enforcing rules, not just asking.** Instructions in `CLAUDE.md` are guidance. Hooks and permission rules are enforcement, so if something must never happen, there's a place to guarantee it. **Long tasks with fewer interruptions.** Auto mode lets a safety classifier review actions instead of stopping for every approval, and `/goal` keeps working until a condition is met. **Parallel and background work.** `/batch` splits a large change across worktrees, `/background` frees the terminal, and `/schedule` sets up cloud routines that run without an open session. ## Where Codex wins for me **A visual feedback loop.** The built-in browser, browser annotations and Appshots let me point at the exact thing that's wrong instead of describing it. For a website, that shortens every round of changes. **Everything in one workspace.** Previews, diffs, files, image generation and Sites sit next to the conversation in the ChatGPT desktop app. **Sandboxed by default.** Codex runs local commands inside a sandbox that limits file and network access, and asks before crossing that boundary. Claude Code has a sandbox too, but you turn it on yourself. **It comes with ChatGPT.** Codex is included in ChatGPT plans and shares usage with ChatGPT Work, so there's no separate subscription if you already pay for ChatGPT. ## Where they're closer than people think - **Both keep going until done.** Each has a `/goal` command. - **Both plan before editing.** Claude Code has plan mode. Codex has `/plan`. - **Both read project instructions.** Claude Code reads `CLAUDE.md` and Codex reads `AGENTS.md`, and one file can point to the other. - **Both use skills and MCP.** Skills follow the open Agent Skills standard, so one skill can serve both. - **Both work away from your desk.** Claude Code has Remote Control and Codex has Remote, so you can check on work from your phone. ## Which one fits your situation | If you... | Consider | Why | | --------- | -------- | --- | | Want to build your own agents on the same engine | Claude Code | The Agent SDK exposes the Claude Code agent loop to your own code | | Deploy through AWS, Google Cloud or Microsoft Foundry | Claude Code | It runs on Amazon Bedrock, Google Cloud and Microsoft Foundry | | Hand off tasks from Slack, Linear or GitHub issues | Codex | Cloud tasks start from those tools and run in isolated environments | | Run lots of routine, high-volume tasks | Codex | Smaller models like GPT-5.6 Luna stretch usage limits further | | Want to use a model from another provider | Codex | Codex can point at any provider that supports OpenAI's Responses API | | Work mostly on Windows | Codex | The desktop app has a native Windows sandbox | | Share a workspace with teammates who aren't developers | Codex | It lives in ChatGPT alongside Chat and Work | | Care most about deep customization and guardrails | Claude Code | Hooks, permission rules and plugins give you the most control | ## Using both without starting over The hard part isn't picking a tool. It's keeping them from drifting apart. 1. **Keep one source of instructions.** Write project guidance once and have the other tool's file reference it instead of repeating it. 2. **Share skills instead of copying them.** Copies drift. One version referenced from both stays accurate. 3. **Pick by task, not loyalty.** Send system-building to one and visual iteration to the other, and let the project files carry the context between them. More on keeping a setup clean: [How I Keep My Claude Code Setup From Drifting](/guides/claude-code-maintenance). **Go deeper:** [5 Codex Features That Put It Back in My AI Stack](/guides/5-codex-features) · [Claude Code Commands I Use on Repeat](/guides/claude-code-commands) · [ChatGPT Work vs Codex](/guides/chatgpt-work-vs-codex)