Codex CLI review

The full review

Codex CLI is OpenAI's answer to Claude Code, and the framing matters: this is not a Cursor competitor, it is a terminal coding agent positioned for engineering teams who want OpenAI's strongest models in an agentic, repository-aware form factor. The release timing — about eighteen months after Anthropic's Claude Code — meant Codex shipped into a market that already had a strong incumbent, and the early reviews reflected the catch-up dynamic. The current version, six months in, has closed most of the gap.

The strongest case for Codex is alignment with the OpenAI stack. If your organization is already paying for ChatGPT Enterprise, has GPT-5 access through the API, and uses OpenAI models for production workloads, Codex CLI is the natural extension into the developer workflow. The model routing inside Codex picks GPT-5, GPT-5-codex, and o4 based on task, and the o4 reasoning model in particular handles long-horizon planning tasks well — the kind of "design this whole subsystem" work that benefits from genuine reasoning rather than pattern completion.

In side-by-side testing on standardized refactor tasks, Codex CLI and Claude Code produce comparable quality on smaller jobs, with Claude Code's edge widening on the largest tasks — the five-hundred-file refactors, the codebase audits, the multi-day agentic projects. For typical day-to-day work — refactor this module, add this feature across these three files, write tests for this class — the two are interchangeable, and the choice comes down to which model family your stack already favors.

Pricing parity is intentional. Twenty dollars a month for Pro, thirty for Team — exactly Claude Code's pricing — signals OpenAI's willingness to compete head-on rather than position around. That removes pricing as a variable from most evaluations; the question becomes which tool feels better to your team and which model family you trust more for your specific stack.

Weaknesses worth knowing. The tooling polish is still a step behind Claude Code — we've seen rougher behavior around git operations, somewhat less reliable handling of multi-repo setups, and a couple of UX rough edges that betray the product's relative youth. For teams that prize stability and a polished agent experience, Claude Code is the safer pick today. For teams already deep in the OpenAI ecosystem, or those who want first access to OpenAI's frontier models inside an agentic CLI, Codex CLI is closing the gap quickly enough to be the right bet.