Cursor vs Claude Code vs Codex
Cursor, Claude Code and OpenAI Codex are three of the most popular AI coding agents. They overlap more every release, but each still starts from a different place: Cursor is an AI-first editor, Claude Code is Anthropic's terminal agent, and Codex is OpenAI's agent that spans a CLI, IDE extension and cloud tasks.
At a glance
| Cursor | Claude Code | OpenAI Codex | |
|---|---|---|---|
| Made by | Anysphere | Anthropic | OpenAI |
| Starting point | AI code editor (a VS Code fork) | Agent in your terminal | Agent across CLI, IDE extension and cloud |
| Also available as | CLI and cloud/background agents | IDE extensions (VS Code, JetBrains) | Extension for VS Code, Cursor, Windsurf and JetBrains; cloud tasks from the web and apps |
| Models | Choice of models from several providers | Anthropic's Claude models | OpenAI models |
| Pricing approach | Free tier plus paid plans | Claude subscription plans or API usage | Included with ChatGPT plans, or API key |
| MCP support | Yes | Yes | Yes |
Check each official site for current plans and limits; they change often.
Cursor: best if you live in your editor
Cursor puts the agent inside a familiar VS Code-style editor, with tab completion, inline diffs and an agent that can make multi-file changes. Being model-flexible is a real advantage if you like to switch models per task. It suits developers who want to watch and steer changes visually. Compare it with Windsurf, GitHub Copilot and Zed.
Claude Code: best for terminal-first, larger tasks
Claude Code runs in your shell with access to your local environment, so it fits developers who want an agent that plans, edits, runs commands and tests across a repo. It works with any editor, is scriptable, and is built on the same harness as the Claude Agent SDK. The trade-off is that it is tied to Claude models. See also Claude Code vs Cursor and Claude Code vs Gemini CLI.
Codex: best if you want to delegate to the cloud
OpenAI Codex works locally through its CLI and IDE extension, and can also run tasks in cloud environments connected to your GitHub repos, returning changes you can review or open as a pull request. If your team already pays for ChatGPT, it is the easiest of the three to try. See Claude Code vs OpenAI Codex and Codex vs Jules.
Which should you choose?
- Pick Cursor for an editor-centric workflow with autocomplete, visual diffs and model choice.
- Pick Claude Code for terminal-native agentic work, scripting and automation on Claude models.
- Pick Codex if you are in the OpenAI/ChatGPT ecosystem or want to hand off tasks to cloud environments.
They are not mutually exclusive: Claude Code and Codex both run inside Cursor's terminal or as extensions. Try each on the same small task in your own repo. Whichever you pick, add a few MCP servers to extend it, and browse the full best AI coding agents list for alternatives.
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FAQ
Is Cursor better than Claude Code?
Neither is better for everyone. Cursor is better if you want an AI editor with autocomplete and visual diffs; Claude Code is better if you prefer a terminal agent that works with any editor.
Can I use Claude Code or Codex inside Cursor?
Yes. Both can run in Cursor's integrated terminal, and Codex offers an extension that works in VS Code forks such as Cursor.
Do all three support MCP?
Yes. Cursor, Claude Code and Codex can all connect to Model Context Protocol servers for extra tools and data.