Claude Code vs Codex: which is right for your business?
Both are agentic coding tools that read a repository, edit files, run commands and open pull requests from the terminal, IDE, desktop or browser. Choose Claude Code if you want strong customisation through project instructions, skills, hooks and subagents, or need to run it through Amazon Bedrock, Google Cloud or Microsoft Foundry. Choose OpenAI Codex if your organisation already pays for ChatGPT business plans, wants an open-source CLI, or prefers OpenAI's models. Capability is close and changes monthly, so trial both on your own repository and compare results, review effort and usage limits.
Last reviewed October 2026
Side-by-side comparison
| Claude Code | Codex | |
|---|---|---|
| Best at | Long, multi-step tasks in the terminal with deep customisation through CLAUDE.md, skills, hooks and subagents. | Delegating tasks to cloud sandboxes and reviewing results, alongside a local CLI and IDE extension. |
| Where it runs | Terminal, VS Code and JetBrains, a desktop app, the web, mobile apps and Slack. | Open-source CLI, IDE extension, desktop app, web, GitHub code review and Slack. |
| Plan structure | Included in paid Claude individual, Team and Enterprise plans, or billed per token through the API. | Included in paid ChatGPT plans, including Business and Enterprise, or billed per token with an API key. |
| Training defaults | Team, Enterprise and API use is not trained on by default; individual plan users set their own preference. | Business, Enterprise and API data is not trained on by default; personal plans have a setting to check. |
| Cloud provider options | Runs through Amazon Bedrock, Google Cloud or Microsoft Foundry under your existing cloud agreement. | Mainly through OpenAI directly; OpenAI models are also offered through Microsoft Azure. |
| Team and admin controls | Managed settings, policy enforcement, spend limits, usage monitoring and a self-hosted gateway option. | Workspace roles, provisioning, model and plugin restrictions, compliance API and audit events. |
| Open source | Proprietary tool, though the Agent SDK lets you build your own agents on it. | The Codex CLI is open source, so teams can inspect or extend it. |
| CI and automation | GitHub Actions, GitLab CI/CD, scheduled routines and automatic pull request review. | GitHub code review integration and scripted runs of the CLI in pipelines. |
| Learning curve | Comfortable for terminal users; configuration depth takes time to learn. | Similar for the CLI; cloud tasks suit people who prefer reviewing finished diffs. |
Choose Claude Code if…
- →You want to route usage through AWS, Google Cloud or Microsoft Foundry billing
- →Your team wants shared skills, hooks and project instructions checked into the repo
- →You run automated code review or fixes in GitHub Actions or GitLab CI/CD
- →You already use Claude for writing and analysis across the business
Choose Codex if…
- →Your organisation already pays for ChatGPT Business or Enterprise seats
- →You want an open-source CLI you can inspect and extend
- →You prefer delegating tasks to cloud sandboxes and reviewing finished diffs
- →Your developers favour OpenAI's models for their codebase
For Australian businesses
Code and prompts sent to either tool may leave Australia, so assess personal information in repositories under the Privacy Act 1988 and APP 8. Claude Code can run through Amazon Bedrock or Google Cloud, where Australian regions may be available for supported models; confirm the region before relying on it. OpenAI offers data residency in selected regions for eligible enterprise and API customers, so check whether it covers the Codex features you plan to use. Agents can run shell commands, so restrict permissions and keep secrets out of reach. Both bill in US dollars directly; cloud marketplaces may allow local billing.
Our verdict
There is no clear winner on capability; both are strong agentic coding tools and leapfrog each other often. Claude Code suits teams that want to codify their workflows and route usage through an existing cloud provider. OpenAI Codex suits organisations already standardised on ChatGPT that want coding included in the same plan, plus an open-source CLI. Decide on procurement, data handling and admin controls first, then run both on the same set of real tickets for a fortnight.
Full reviews
Coding Assistant
Anthropic's agentic coding tool that works directly in a codebase. It reads files, plans changes, edits across many files, runs tests and terminal commands, and works with Git. Developers use it in the terminal, VS Code and JetBrains IDEs, the Claude desktop app, or the browser, where tasks run in Anthropic-managed cloud environments.
Best for: Developers comfortable in the terminal working on large codebases
Claude Code review →Codex (OpenAI)
Free plan + paidCoding Assistant
OpenAI's coding agent for writing, reviewing and fixing code. It runs locally through the Codex CLI, IDE extension and desktop app, and in the cloud, where it works on tasks in parallel sandboxes and proposes pull requests. Access comes with ChatGPT plans or through an OpenAI API key.
Best for: Teams already paying for ChatGPT Business or Enterprise
Codex review →
Frequently asked questions
Do I need a separate subscription for Claude Code or Codex?
Usually not. Claude Code is included in paid Claude plans and Codex in paid ChatGPT plans, each with usage limits. Heavy users can move to higher tiers or pay per token through the respective API instead, which suits automation and CI use.
Can either tool run without sending code overseas?
Not by default. Claude Code can run through Amazon Bedrock or Google Cloud, where you choose the region, which may allow Australian processing for supported models. OpenAI offers regional data residency to eligible enterprise customers. Confirm current availability with each provider.
Are these agents safe to run on production systems?
Treat them as you would a new contractor. Both can run shell commands, so use sandboxing and permission settings, keep production credentials out of the environment, and require human review of every pull request before merging.
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Still deciding?
AI Lab Australia can trial both tools against your own documents and workflows, and set up the one that fits with the right privacy controls.