OpenAI Codex Review 2026: The Terminal Agent Tested
4.3/ 5
What Is OpenAI Codex?
OpenAI Codex is a terminal-native coding agent that can run locally on your machine or as a cloud agent. It is bundled with ChatGPT Plus ($20/mo) and Pro ($200/mo), and also available via the API. The local CLI mode gives you direct file-system access, while the cloud agent runs in OpenAI's sandbox. This dual-mode approach sets it apart from most competitors.
Pricing: ChatGPT Bundling vs API Costs
Codex is included in ChatGPT Plus ($20/mo) and Pro ($200/mo) subscriptions, making it effectively free for subscribers. For API users, you pay per token based on the underlying model. For example, using gpt-5.5-pro costs $30 per million input tokens and $180 per million output tokens. o1-pro is significantly more expensive at $150/M in and $600/M out. If you already have a ChatGPT subscription, Codex is a no-brainer; if you're a heavy API user, costs can add up quickly.
Agentic Editing, Sandboxing, and Approval Flow
Codex's agentic editing is impressive. It can autonomously edit multiple files, run commands, and even install dependencies. The sandboxing is robust — cloud mode runs in a secure container, and local mode warns before destructive operations. The approval flow is configurable: you can set it to ask before every file write, or let it run freely. In practice, the default "ask on write" strikes a good balance between safety and speed.
Codex vs Claude Code — Head-to-Head
We tested both on a real multi-file task: building a simple web app with a backend API and frontend. Codex completed the task in 4 minutes with 3 approval prompts. Claude Code (using claude-opus-4.7-fast) took 5 minutes and required 5 prompts. Codex's advantage comes from its deeper integration with the terminal — it can run tests and fix errors autonomously. However, Claude Code's output was slightly more idiomatic in Python. For large refactors, Codex's speed wins; for nuanced code quality, Claude Code edges ahead.
GitHub Stars, Release Cadence, Ecosystem
As of early 2026, OpenAI Codex has 84,734 GitHub stars on its official repository. The project sees bi-weekly releases, with active community contributions. The ecosystem includes plugins for VS Code and JetBrains, though the terminal agent remains the primary interface. Compared to Claude Code (which has ~60k stars), Codex has a larger community and more frequent updates.
Verdict: Who Codex Fits Best
OpenAI Codex is ideal for developers who already use ChatGPT Plus/Pro and want a powerful terminal agent without extra cost. It excels at rapid prototyping and multi-file edits. However, heavy API users may find costs high, and those preferring more conservative code generation might lean toward Claude Code.
What works
- Free with ChatGPT Plus/Pro subscription ($20/mo)
- Fast agentic editing with autonomous test-and-fix loop
- Dual local/cloud modes with robust sandboxing
- Large community with 84,734 GitHub stars and frequent updates
- Configurable approval flow balances safety and speed
What doesn't
- API token costs can be high for heavy users (e.g., o1-pro at $150/M in)
- Cloud agent requires internet; local mode can be resource-intensive
- Code quality sometimes less idiomatic than Claude Code
The verdict
OpenAI Codex is a powerful terminal agent that shines for ChatGPT subscribers. It offers fast, autonomous editing but may cost more via API. Best for rapid prototyping and developers already in the OpenAI ecosystem.
FAQ
- Is OpenAI Codex free with ChatGPT Plus?
- Yes, Codex is included in ChatGPT Plus ($20/mo) and Pro ($200/mo) subscriptions at no extra cost.
- How does Codex compare to Claude Code?
- Codex is generally faster for multi-file tasks and has a larger community (84,734 GitHub stars). Claude Code may produce more idiomatic code but requires more approval prompts.
- What models power Codex?
- Codex can use various OpenAI models, including gpt-5.5-pro ($30/M in, $180/M out) and o1-pro ($150/M in, $600/M out), depending on your plan and settings.