Short answer: Claude Code8.3 out of 10 (8.3/10) edges OpenAI Codex7.8 out of 10 (7.8/10) on our scores and is the better pick if you want a terminal agent that works in your own repository and shares your editor. Codex is the better pick if you want to fire off several tasks at once and get reviewable pull requests back, or if you want an open-source CLI you can run with your own API key.
This comparison is for developers choosing a delegate-the-task coding agent rather than an autocomplete tool. Both start at $20/month, so the choice comes down to workflow, usage limits and how much you trust each vendor’s metering. Scores come from the weighted rubric on our methodology page; no vendor influences them.
Quick picks:
- Best overall: Claude Code8.3 out of 10, 8.3. Included with Claude Pro from $20/month; Max is $100 to $200/month.
- Best for parallel, PR-style delegation: OpenAI Codex7.8 out of 10, 7.8. Included with ChatGPT Plus from $20/month; the open-source CLI is free plus your own API usage.
Side by side
| Claude Code | OpenAI Codex | |
|---|---|---|
| Overall | 8.3 | 7.8 |
| Capability | 9 | 9 |
| Ease of use | 8 | 7 |
| Value | 8 | 7 |
| Reliability | 8 | 8 |
| Support & docs | 8 | 7 |
| Where it runs | Your terminal, plus VS Code and JetBrains plugins | Cloud sandboxes in ChatGPT, plus an open-source local CLI |
| Entry price | $20/month (Claude Pro) | $20/month (ChatGPT Plus) or free CLI with your API key |
| Heavy-use tier | Max $100 to $200/month, or pay-as-you-go API | ChatGPT Pro from $100/month, plus Team and Enterprise |
| Source code | Closed | CLI is open source on GitHub |
The two tie on capability and reliability. The gap comes from ease of use, value and support, each worth a point to Claude Code.
Claude Code: best for working in your own repo
Claude Code takes a task such as “fix this bug” or “add this feature”, reads the repository, edits across files, runs commands and tests, and iterates on failures. Because it lives in the terminal, it works next to any editor, which matters if you use JetBrains or Vim. It runs on Anthropic’s models: Opus 5 scored 96.0% on SWE-bench Verified, and Opus 5.5 (September 2026) is now Anthropic’s recommended default, with Sonnet 5.5 as the faster, cheaper option. Anthropic reported Sonnet 5.5 as about 30% faster and up to 30% cheaper per task at unchanged $2/$10 pricing.
It also does more than single-agent work. Built-in subagent types, nested subagents and agent teams that share a task list let you run parallel workers, and MCP connectors, hooks and slash commands make repeatable workflows possible. Anthropic made auto mode the default for Pro, Max and Team plans, so expect fewer permission prompts and review diffs with care.
Weaknesses:
- Usage limits. Heavy sessions burn through Pro quotas quickly. Anthropic trimmed weekly limits by about 17% on 14 September 2026 (still 25% above the pre-May baseline), and a proposed class action alleges the Max multiples are overstated. No class has been certified.
- Not a pair programmer. A terminal workflow offers less moment-to-moment, in-editor help than an IDE-native tool.
- Metered API costs. Pay-as-you-go billing can climb on large codebases without careful scoping.
- Review still required. Autonomous edits need a human check before merging, especially on large or ambiguous changes.
OpenAI Codex: best for parallel delegation
Codex pairs a cloud software-engineering agent with an open-source local CLI. You hand it a well-scoped task, it works in an isolated sandbox, runs the tests and returns a diff or pull request. Because each task gets its own sandbox, several jobs can run at once without stepping on each other. Since Codex Remote reached general availability, paid subscribers can also monitor and approve long-running sessions from a phone.
OpenAI has opened the engine to builders too: its Agents API in public beta exposes the same orchestration harness that powers Codex, including session management, subagents and sandboxed execution. If you build your own agent products, that is a real point in Codex’s favour.
Weaknesses:
- Limits shift. OpenAI reinstated a five-hour rolling cap on Codex for Plus users from 25 August, six weeks after lifting it. The highest limits sit behind ChatGPT Pro, Team and Enterprise pricing.
- Slower turnaround. Sandboxed, autonomous runs take longer than inline tools, so Codex suits tasks you can walk away from rather than quick interactive edits.
- Less editor-native. Like Claude Code, it is a delegate rather than a pair programmer.
- Review still required. Quality on large or ambiguous changes needs human review before merging.
How the pricing really compares
Entry prices match: Claude Pro and ChatGPT Plus are both $20/month, and each bundles its coding agent into a general assistant subscription. Neither is a standalone plan, so the real cost is how fast you hit the limit.
Claude Code publishes a clear structure of rolling five-hour windows with weekly limits on top, and Max at $100 or $200/month raises the ceiling. Codex’s heavier tiers start at $100/month with ChatGPT Pro. Both vendors have changed their limits more than once this year, in opposite directions at different times, so check the live usage screen before committing for a team. We did not find independent, reliable measurements of tokens or dollars per task, so we have not made a cost-per-task claim either way.
If you want to avoid subscription metering altogether, both can run on API billing: Claude Code with an Anthropic key (Opus 5.5 is $4/$20 per million input/output tokens), and the Codex CLI with an OpenAI key.
Which should you choose?
- If you want an agent in your terminal that works beside any editor, choose Claude Code.
- If you use JetBrains or Vim and don’t want to switch editors, choose Claude Code.
- If you want to queue several independent tasks and review pull requests later, choose Codex.
- If you want an open-source CLI you can inspect and run with your own key, choose the Codex CLI.
- If you build agent products and want the same harness, look at Codex and OpenAI’s Agents API.
- If you code all day and fear quota walls, price Claude Max against ChatGPT Pro before paying, and try each for a week on the same real task.
- If neither fits, see our best AI coding agents ranking, the head-to-head of Cursor, Windsurf and Claude Code, or the Coding category.
Next step
Open both profiles to compare sub-scores and plans: Claude Code8.3 out of 10 and OpenAI Codex7.8 out of 10. If you want an in-editor agent instead, read our Cursor review and run the same task in two tools before paying.
Frequently asked questions
Is Claude Code better than Codex?
On our scores, yes, by a small margin: 8.3 against 7.8. Capability and reliability are tied. Claude Code leads on ease of use, value and support. Codex is the stronger fit if you want parallel sandboxed tasks that return pull requests.
Is Codex free?
The Codex CLI is open source and free to install, but you pay for the OpenAI API usage it consumes. The cloud agent is included with ChatGPT Plus at $20/month and higher plans.
Which is cheaper, Claude Code or Codex?
Entry prices are the same at $20/month. Actual cost depends on how much you use each before hitting limits, and both vendors have changed their limits during 2026. We found no reliable independent cost-per-task data, so check live limits before choosing.
Can I use Claude Code and Codex together?
Nothing stops you running both on separate tasks or branches, and some developers do. They are separate products from separate vendors, so you would need a subscription or API key for each.
Which one is better for beginners?
Claude Code scores 8 on ease of use against 7 for Codex. Both assume you are comfortable reviewing diffs and running tests, and both need that human review before code is merged.