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Claude Code vs OpenAI Codex: An Honest Comparison

Claude Code and OpenAI's Codex are the two big terminal-first coding agents. How they compare on where they run, which plans include them, models, cloud tasks and day-to-day workflow — without picking a winner for you.

Claude Code (from Anthropic) and Codex (from OpenAI) are the closest rivals in AI coding. Both are agents: you describe a task, and they read your code, make changes, run commands, and report back. Both run in a terminal, in an editor extension, in a desktop app and in the cloud. So how do you choose?

Plan details below are from Anthropic's and OpenAI's own pages as of October 2026. Both change frequently.

What they have in common

It helps to start with how similar they've become:

  • A terminal agent you run in your project folder (claude for Claude Code, codex for Codex).
  • An IDE extension for VS Code and its forks.
  • Cloud tasks that run on the vendor's infrastructure, so work continues when your laptop is closed.
  • GitHub integration for working on pull requests.
  • A project instructions file the agent reads every session — CLAUDE.md for Claude Code, AGENTS.md for Codex.
  • Included in a chat subscription, or billed per token with an API key.

If you've learned one, you can learn the other in an afternoon. The differences are in the details.

Where they differ

The models

Claude Code runs Anthropic's Claude models; Codex runs OpenAI's models. This is the biggest real difference, and it's the one that changes week to week — each company releases new models several times a year, and benchmark leadership moves with them. Rather than trusting a leaderboard, try both on your codebase for a week. The model that understands your project and follows your conventions is the better one for you.

Which plans include them

Claude Code is included with Claude Pro ($20/month, or $17/month billed annually), Max (from $100/month), Team and Enterprise. It isn't on the free plan. You can also use an Anthropic API key and pay per token.

Codex is included across ChatGPT plans. According to OpenAI's pricing page, the free plan includes the Codex desktop app only; Go ($8/month) adds the CLI and IDE extension; Plus ($20/month) and above add cloud tasks; Pro starts at $100/month. You can also use an OpenAI API key.

So Codex has a cheaper entry point. At $20/month, both give you the full set of surfaces.

Configuration and control

Claude Code has a particularly deep configuration system: settings files at user, project and organisation level, permission modes, hooks that run your scripts at fixed points, subagents, skills and plugins. If you want the agent's behaviour defined in files your whole team shares, that's a strength.

Codex is open source (the CLI lives on GitHub) and has its own sandboxing and approval modes. If being able to read the agent's source matters to you, that's a point in its favour.

Cloud tasks

Both offer cloud execution: Claude Code cloud sessions at claude.ai/code, and Codex cloud tasks in ChatGPT. Both clone your GitHub repository into a fresh, isolated environment, work on a branch, and let you review the result as a pull request. Both environments are temporary — built for a task, not for keeping an app running.

How to actually decide

  1. If you already pay for one assistant, start there. A ChatGPT subscriber has Codex; a Claude subscriber has Claude Code. Use what you have for a couple of weeks before paying for a second.
  2. Run the same task through both. Pick a real bug or a small feature, give each the same prompt, and compare the diffs. You'll learn more from that than from any article.
  3. Weigh the ecosystem. If your team has standardised on CLAUDE.md, hooks and shared settings, Claude Code slots in. If you live in ChatGPT already, Codex is right there.
  4. Don't overthink switching costs. Your code is in git either way. Moving between agents is mostly a matter of renaming the instructions file.

What neither one solves on its own

Both agents are only as useful as the environment they work in. A local agent stops when your laptop sleeps. A cloud task is thrown away when it's done, so there's nowhere for your app, its database and its running processes to live between tasks. If you want an agent that can build an app, run it, see it break and fix it — and still have that app running tomorrow — you need a persistent machine for it to work on.

The summary

  • Claude Code and Codex are now very similar: terminal, IDE, desktop, cloud, GitHub.
  • The real difference is the model family behind each, and that changes constantly — test on your own code.
  • Codex has a cheaper entry tier; at $20/month both are fully featured.
  • Claude Code's configuration (settings, hooks, skills) is its standout; Codex's open-source CLI is its.

EasySpawn runs Claude Code on a persistent cloud server with your app, database and terminal side by side, so the agent can run what it builds and you can pick up from any device. Bring your own Claude subscription. See how it works or join the waitlist.

Related: Claude Code vs Cursor · Claude Code vs GitHub Copilot · How to Write a CLAUDE.md That Actually Helps · What Is an AI Coding Agent?

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