Claude Code vs Codex
Anthropic's Claude Code against OpenAI's Codex CLI - licence, model lock-in, and what each costs to run on your own server.
Verdict
Both are terminal coding agents tied to their vendor's models, so neither buys you provider independence. Codex's CLI is Apache-2.0 and inspectable; Claude Code is proprietary and more polished. Choose by which vendor's models you want to be committed to, because that is the decision you are actually making.
What actually separates them
Source availability, not capability. Codex ships an open client; Claude Code does not. Both still send your work to one company's API, which is why neither is the answer if vendor independence is the goal.
Claude Code vs Codex: side by side
| Feature | Claude Code | Codex |
|---|---|---|
| License | Proprietary | Apache-2.0 |
| Language | — | Rust |
| Interface | CLI, SDK, IDE extension | CLI |
| Model-agnostic | No | No |
| Providers | Anthropic, AWS Bedrock, Google | OpenAI |
| Local models | None | None |
| MCP | Native | — |
| Code execution | Native | Native |
| Browser/computer use | Via plugin | None |
| Self-host difficulty | Easy | Easy |
| Min RAM (measured) | 1 GB | 1 GB |
| Idle RAM (measured) | None resident | None resident |
| Deploy | Native, Binary | Native, Binary |
| Pricing | Usage-based | Usage-based |
| Maturity | Production | Production |
= one-click hosting on AgentOcean. Matrices are objective; recommendations reflect our first-party deployment experience. Data last verified 2026-06-17.
Claude Code⚡
Anthropic's agentic coding tool that lives in your terminal, understands your codebase, and runs tasks, edits and git workflows via natural language. Claude models only.
Codex⚡
OpenAI's lightweight open-source coding agent that runs in your terminal and executes code locally, using OpenAI models.
Which should you pick?
Pick Claude Code if…
You want the most polished terminal agent and you are already committed to Anthropic's models.
Pick Codex if…
You want a client you can read, script and pin, or you are already on a ChatGPT plan.
What this comparison does not settle
Neither this page nor any table on it tells you which writes better code. We have not benchmarked output quality, and we would rather say so than imply a ranking we cannot support.
Run either on your own VPS
One-click deploy the ⚡ agents on a hardened AgentOcean VPS, or self-host any of them with our guides.