Did Codex just make Claude obsolete?

OpenAI has quietly turned every paid ChatGPT account into something much bigger than a chatbox. With Codex, you now get a full cloud computer, hosted apps, autonomous agents, and a growing ecosystem of skills and plugins. That naturally raises the question: where does this leave Claude?

Claude is still excellent for writing and reasoning, but Codex is rapidly becoming the place where work actually gets done. Let’s break down what Codex can do today that Claude either can’t match or can only approximate with extra setup.

The hidden superpower: a free cloud computer for every user

Every paid ChatGPT user now effectively gets a virtual machine (VM) in the cloud through Codex. Think of it as a full computer that lives in a data center instead of on your desk.

This VM comes with around 15 GB of RAM and 9 CPU cores by default, plus an extra 5 GB of RAM if you’re on the Pro plan. That’s in the same ballpark as a decent Mac mini, except you don’t have to buy or configure any hardware. It has its own browser, can install packages, and keeps working even when your laptop is closed or your internet drops.

Renting a similar server yourself would typically cost $20–$50 per month, plus the headache of setup and maintenance. With Codex, it’s simply included as part of the ChatGPT subscription.

This is more than a nice perk. Once your AI agent has its own computer, it stops depending on yours. It can run long tasks, background jobs, and complex workflows entirely in the cloud.

Codex skills vs Claude skills: the big difference

Both Codex and Claude support the idea of “skills” or tools that extend what the model can do. The difference is how naturally Codex discovers and uses them.

In Codex, you can paste a prompt that clearly needs external tools—like a list of Twitter or Reddit links—and Codex will automatically look through its skills database, pick the right tools, and run them without you manually wiring anything up.

One standout example is the Agent Reach skill. It gives agents access to sites like X (Twitter) and Reddit without you needing to manage paid API keys. If one access method gets blocked, it automatically switches to a backup. Codex can decide on its own that it needs Agent Reach for your task and just use it.

Claude can also browse and follow links, but often by taking control of your browser or relying on your local environment. Codex’s approach feels more like a self-contained system that chooses and runs tools autonomously inside its own VM.

Digital pets: fun, but also surprisingly useful

Codex leans into playful features, including Tamagotchi-style digital pets that live on your desktop. There are nine preset pets, and you can even generate a custom one based on your preferences or photos—for example, turning your real cat into a little desktop companion.

These pets aren’t just decoration. They act as a status indicator for your agents. If the pet is sleeping, your agent is idle. If the pet is active, your agent is working. It’s a fun, visual way to see whether your automations are still running in the background.

Are they strictly necessary? No. But they show Codex’s focus on building a community and making agents feel more approachable, especially for non-technical users. By contrast, Claude’s UI is more minimal and utilitarian—its most playful element is essentially a spinner.

ChatGPT Sites: from idea to hosted app in one conversation

One of Codex’s most powerful features is ChatGPT Sites. The name sounds like a simple website builder, but it’s closer to a full-stack app platform.

When Codex builds you a “site,” you actually get:

• A real database for users and stored data
• File storage for uploads and assets
• A secure vault for API keys and secrets
• Authentication wired through ChatGPT accounts (no OAuth pain)
• Hosting and deployment handled automatically

You describe the app in plain language, and Codex designs, codes, deploys, and hosts it—often in a single chat. You can even attach a custom domain.

For many people, the distance between a “million-dollar app idea” in a notes app and a live product with real users used to be months of work and thousands of dollars. With Codex and ChatGPT Sites, that gap can shrink to a single conversation.

If you’re interested in practical workflows that combine Codex and Claude, you might like this guide on being productive with Claude Code and Codex.

Always-on agents with ChatGPT Work

Codex also powers ChatGPT Work, which plays in the same space as Claude’s co-work features: persistent agents that manage tasks for you over time.

The difference is how deeply these agents can embed into your life thanks to the cloud VM. Users are already having Codex agents:

• Check their inbox twice a day and flag when Amazon packages are delivered
• Babysit bids on marketplaces like StockX
• Draft replies to important emails that might otherwise be missed
• Monitor finances daily and highlight suspicious activity
• Plan and log workouts, cross-checking against health data
• Hunt for Airbnbs with the remote browser, then compile options into a shared Google Doc
• Find and book tax accountants or rebook flights when schedules change

All of this can run from your phone, with the heavy lifting happening on Codex’s own machine. Claude can do parts of this via connectors, but it tends to depend more on your computer being on and the app being active. Codex’s “set it and forget it” experience is much closer to what non-technical users expect from a true assistant.

Voice mode and idea capture in the real world

OpenAI’s live voice mode pairs neatly with Codex. You can start a voice conversation on your phone, put it in the background, and go for a walk while you talk through an idea as if you were on a call with a friend.

When you’re done, you open Codex, attach that voice thread, and it becomes a structured plan your coding agent can execute. The Codex iOS app can also keep recording dictation while it’s backgrounded, so you can poke around your app and narrate changes you want—then come back to see the whole rant turned into a single actionable task.

Because OpenAI’s voice agents respond in milliseconds, the conversation feels natural and keeps you in a flow state. Claude does have voice annotation, but it usually requires you to stay in the app, and its real-time voice experience is still behind what OpenAI offers today.

Remotion, slides, and next-level visuals

Codex shines when you connect it to tools that turn code into visuals. One standout example is Remotion, a framework for generating videos with code. Many of the slick animated explainers you see online—moving charts, sliding text, dynamic layouts—are built with tools like this.

When you plug Remotion into Codex, you can describe the video you want and let the agent generate both the visuals and the motion logic. Because ChatGPT’s image generation is currently among the best in the world, you can pair high-quality images with programmatic animations for professional-looking results.

On top of that, there’s an open-source Codex Slides plugin that can turn almost anything—a GitHub repo, a PDF, or a messy brain dump—into a full animated slide deck. For creators, educators, and marketers, this stack is a genuine game-changer.

For more on how AI is reshaping creative work, especially in video, you might enjoy this article on how AI is transforming how movies are made.

Security auditing and code insight, powered by agents

Codex isn’t just about building things faster; it can also help you secure what you ship. There’s an open-source Codex security plugin that can audit your codebase end-to-end.

Point it at your repo, and it can:

• Build a threat model for your application
• Map out potential attack paths
• Explain exactly how someone could break into your app
• Propose and implement fixes
• Test those fixes
• Export a proper security report to tools like GitHub, Jira, Linear, or SARIF-compatible systems

All of this is free and open source. Trying to get Claude to do the same thing today would run into more safety restrictions and limitations around code execution and scanning.

Codex also adds a “pull request” style view for non-technical users. When an agent works on a task, you can click into it and see a plain-English summary of everything it changed. That means you don’t have to vibe blindly—you can understand, in normal language, what your agent actually did to fix a bug or add a feature.

Keeping your AI workspace tidy with automations and memory

Most of us have a chaotic sidebar full of old chats and half-finished experiments. Codex can clean that up for you with simple automations.

You can set up a scheduled task that runs every 20 minutes, scans your threads, and automatically updates their titles to clearly describe what’s inside—often with an emoji showing live status. It’s a small thing, but it makes your workspace feel much more organized.

On top of that, ChatGPT’s dynamic memory is getting good enough that the walls between individual chats matter less. Codex quickly learns your preferences, projects, and style across conversations. While Claude also has memory, many users report that Codex seems to pick up more about them in less time.

So, is Claude obsolete?

Despite everything Codex can do, Claude is far from obsolete. Claude (especially models like Claude 3.5 and Fable) is still excellent for long-form writing, careful reasoning, and tasks where you want a very thoughtful, structured response. Many power users are keeping subscriptions to both and using each where it’s strongest.

But if you’re looking at which platform is becoming the “operating system” for your AI agents—hosting apps, running background workflows, auditing code, generating visuals, and managing your digital life—Codex currently has a clear edge. It’s not just a chatbot anymore; it’s a full cloud computer with an ecosystem built around it.

The most productive setup for now might be simple: use Claude when you want the best writing and analysis, and use Codex when you want an AI that can actually go out and do things for you.