Can Codex CLI work inside Cursor or another editor?

Codex CLI is a terminal tool, not an editor extension, so it runs alongside any editor in a separate terminal session. It does not integrate into Cursor's editor UI. You could run both independently — Cursor for inline editing, Codex CLI for terminal or cloud tasks.

Does Cursor support OpenAI models?

Yes. Cursor supports multiple model providers including GPT models from OpenAI, so you can use OpenAI models inside Cursor. Unlike Codex CLI, you are not limited to OpenAI — you can also use Claude, Gemini, or DeepSeek.

Is Codex CLI actually free?

The CLI binary is open source. Usage is included in ChatGPT Plus, Pro, Team, and Enterprise plan allotments. Beyond those allotments, API usage is charged at standard OpenAI API rates. Confirm current plan limits on the OpenAI site, as allotments change.

What is the Cursor pricing model and why do people complain about it?

Cursor uses a usage-credit model: Pro ($20/mo, confirm current), Pro+ ($60, confirm current), Ultra ($200, confirm current), Teams ($40/user/mo, confirm current). The credit-based billing has drawn complaints because heavy Agent use can exhaust credits quickly. Confirm current limits and credit rates on the Cursor site before committing to a plan.

Both tools support MCP — is the implementation the same?

Both support MCP, but with different scopes. Codex CLI lets you configure MCP servers in ~/.codex/config.toml (STDIO or streaming HTTP transports) and can itself act as an MCP server — making it composable in multi-agent pipelines. Cursor supports consuming MCP servers as tool sources. The use cases differ: Codex's dual role (client + server) is more relevant for automation pipelines.

Comparison

Codex CLI vs Cursor

OpenAI Codex CLI runs in your terminal and dispatches cloud tasks without touching your editor; Cursor is a full AI-native IDE that wraps VS Code with Tab completion, Agent mode, and background cloud agents. They solve different problems, and most developers will find one fits their workflow far better than the other.

By DK, Editor · Last verified: 2026-06-20 · How we test · No hands-on score yet — comparison is on documented facts

At a glance

Dimension	Codex CLI	Cursor
Form factor	Terminal CLI + cloud tasks (Codex CLI)	AI IDE — VS Code fork (Cursor)
Open source	CLI is open source (Rust); service is OpenAI-hosted	No — proprietary VS Code fork
Free tier	Included with ChatGPT Plus/Pro/Team/Enterprise allotments; confirm current limits	Hobby tier: limited Agent + Tab usage; confirm current limits
Model providers	OpenAI models only (GPT-5.x / o-series)	Claude, GPT, Gemini, DeepSeek — multi-provider
MCP support	Yes — configure in ~/.codex/config.toml; also runs AS an MCP server	Yes — supports MCP servers
Background / cloud agents	Yes — Codex Cloud tasks, non-interactive mode (CODEX_NON_INTERACTIVE=1)	Yes — Background Agents and Cloud Agents (Cursor 3.0+)
Editor integration	None — terminal-only	Deep — inline Tab completion, diff view, Agents Window
Status	Active (June 2026: resilient startup, OAuth MCP refresh)	Active (Cursor 3.0, April 2026: Agents Window added)
Best for	OpenAI-ecosystem devs who live in the terminal or need unattended cloud tasks	Devs who want an AI-first editor with multi-model choice and inline + autonomous agents

Facts compiled from public sources and verified 2026-06-20 — pricing and models change often, so confirm current details on each vendor’s site. No hands-on score is shown; this is a documented-fact comparison.

Verdict

The core split is where you work: if your workflow is terminal-first — scripting, CI pipelines, unattended cloud tasks — Codex CLI fits without requiring you to open an editor. If you spend most of your time in an editor and want inline completions, diff views, and the ability to run background agents without leaving your coding environment, Cursor is the more capable choice. Cursor's multi-model support (Claude, Gemini, DeepSeek alongside OpenAI) is a practical advantage if you prefer not to be locked to a single provider. Codex CLI's open-source Rust core and ability to act as an MCP server make it composable in ways a closed IDE cannot match.

Choose Codex CLI if you are primarily terminal-based, need unattended or CI-triggered coding tasks (CODEX_NON_INTERACTIVE=1), or want your agent to participate in an MCP server graph rather than just consume MCP tools.
Choose Cursor if you want an all-in-one AI editor with inline Tab completion, visual diff review, and both interactive and background/cloud agents — and you want to switch models between Claude, Gemini, GPT, or DeepSeek without changing tools.
Choose Cursor if you are migrating from VS Code and want the lowest-friction AI upgrade path while keeping familiar keybindings and extensions.
Consider both if your team has mixed workflows: Codex CLI for automation and cloud tasks, Cursor for day-to-day editing — they are not mutually exclusive.

Our AI agents

From the team behind AI Coding Hub — agents that pick up where the code ends:

FAQ

Can Codex CLI work inside Cursor or another editor?: Codex CLI is a terminal tool, not an editor extension, so it runs alongside any editor in a separate terminal session. It does not integrate into Cursor's editor UI. You could run both independently — Cursor for inline editing, Codex CLI for terminal or cloud tasks.
Does Cursor support OpenAI models?: Yes. Cursor supports multiple model providers including GPT models from OpenAI, so you can use OpenAI models inside Cursor. Unlike Codex CLI, you are not limited to OpenAI — you can also use Claude, Gemini, or DeepSeek.
Is Codex CLI actually free?: The CLI binary is open source. Usage is included in ChatGPT Plus, Pro, Team, and Enterprise plan allotments. Beyond those allotments, API usage is charged at standard OpenAI API rates. Confirm current plan limits on the OpenAI site, as allotments change.
What is the Cursor pricing model and why do people complain about it?: Cursor uses a usage-credit model: Pro ($20/mo, confirm current), Pro+ ($60, confirm current), Ultra ($200, confirm current), Teams ($40/user/mo, confirm current). The credit-based billing has drawn complaints because heavy Agent use can exhaust credits quickly. Confirm current limits and credit rates on the Cursor site before committing to a plan.
Both tools support MCP — is the implementation the same?: Both support MCP, but with different scopes. Codex CLI lets you configure MCP servers in ~/.codex/config.toml (STDIO or streaming HTTP transports) and can itself act as an MCP server — making it composable in multi-agent pipelines. Cursor supports consuming MCP servers as tool sources. The use cases differ: Codex's dual role (client + server) is more relevant for automation pipelines.