Claude Code vs Codex CLI
Claude Code from Anthropic goes head-to-head with Codex CLI from OpenAI. We compare on pricing, features, speed, and the situations where each one actually wins. No referral fees. No paid placements. Just the trade-offs.
| Claude Code ↗ | Codex CLI ↗ | |
|---|---|---|
| Vendor | Anthropic | OpenAI |
| Category | Terminal coding agent | Terminal coding agent |
| Free tier | No | No |
| Pro plan | $20/mo | $20/mo |
| Team plan | $30/mo | $30/mo |
| Underlying models | Claude 4 Opus, Claude 4 Sonnet | GPT-5, GPT-5-codex, o4 |
| Code-eval score (out of 100) | 95 | 90 |
| Speed | Medium | Medium |
| Best for | Senior engineers running long-form refactors, codebase audits, and agentic tasks from terminal | OpenAI-stack teams who want an agentic CLI tightly aligned to GPT-5 capabilities |
| Weakness | CLI-first; not for devs who live in an IDE GUI | Newer; tooling polish still catching up to Claude Code |
Quick verdict
- Better at coding tasks: Claude Code (95/100 on our code-eval rubric).
- Pick Claude Code if: Senior engineers running long-form refactors, codebase audits, and agentic tasks from terminal.
- Pick Codex CLI if: OpenAI-stack teams who want an agentic CLI tightly aligned to GPT-5 capabilities.
Where Claude Code pulls ahead
Claude Code is built for: Senior engineers running long-form refactors, codebase audits, and agentic tasks from terminal. If that matches your day-to-day, the $20/mo Pro tier is well-spent. The most common reason teams stay on Claude Code after a trial: CLI-first; not for devs who live in an IDE GUI is a manageable trade-off given how strong the core experience is.
Where Codex CLI pulls ahead
Codex CLI excels at: OpenAI-stack teams who want an agentic CLI tightly aligned to GPT-5 capabilities. Strongest case to switch from Claude Code to Codex CLI: when you outgrow what Claude Code optimizes for and start running into CLI-first; not for devs who live in an IDE GUI. Codex CLI's own limitation — Newer; tooling polish still catching up to Claude Code — matters less in those workflows.
Bottom line
For most readers, the right answer is the cheaper, more familiar one — until your workflow specifically asks for something the other handles better. Try the free tier of each (both offer one), spend an afternoon on a real task in each, then commit to whichever felt less in your way.
More comparisons
Methodology: see how we score. Tool names are trademarks of their respective owners. We are not affiliated with Anthropic or OpenAI.