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Which ChatGPT plans include Codex? All of them — here's the breakdown

Every ChatGPT plan includes Codex, Free included. Plus limits for Astra, GPT-6.1 Sol and Luna, Pro at $100, $200 or $500, and Business Premium seats.

July 31, 2026Updated October 30, 2026The Everpod team
The short answer

All of them. Free ($0), Go ($8 a month), Plus ($20), Pro ($100, $200 or $500), Business ($20 or $100 per user a month for a Standard or Premium seat, billed annually), Enterprise and Edu all include Codex. The plans differ in how much you can use and which models you get, not in whether Codex is included.

On Plus, OpenAI estimates roughly 5–45 GPT-6 Astra, 15–160 GPT-6.1 Sol or 350–3,000 GPT-6 Luna messages per five-hour window. Pro and Business Premium seats have no five-hour limit. Free and Go get GPT-6 Luna in the desktop app as it rolls out, and no GPT-6.1 Sol. Prices and limits as of October 2, 2026.

Why this is suddenly confusing

Three changes landed within three months. In July 2026 Codex was folded into ChatGPT (it joined the ChatGPT desktop app on July 9) and became part of every ChatGPT plan, metered by the plan’s allowance. In September the GPT-6 generation replaced the GPT-5.6 tiers: Astra, the top model, on September 3, and Sol and Luna on September 22. There is no GPT-6 Terra. Then at DevDay on September 29, GPT-6.1 Sol replaced GPT-6 Sol as the model OpenAI recommends for complex work, offering “near-Astra performance for complex work at a lower cost than Astra,” and Pro became three plans at $100, $200 and $500 with no five-hour limit.

OpenAI’s models page still lists GPT-6 Sol and keeps the GPT-5.6 tiers selectable during the rollout, and GPT-5.5 retired from ChatGPT, Work and Codex on every plan on October 14, 2026 (the API keeps it). Answers written before DevDay describe a Pro plan that no longer exists in that form.

The plans, as of October 2, 2026

The figures are from OpenAI’s Codex pricing page and its help articles on Pro tiers and Business seats. In ChatGPT, GPT-6.1 Sol, GPT-6 Sol and Luna run in Work and Codex, not in ordinary Chat.

How the limits behave

OpenAI publishes estimates, not counts: “These estimates are not fixed message limits.” What a message costs depends on the model, the size and complexity of the task, and whether it runs locally or in the cloud, where it may use more. Work and Codex draw on the same allowance, and weekly limits may apply on top of the five-hour window. Fast mode spends included usage at 2.5 times the standard rate, and Ultrafast at 8 times.

Pro removes the five-hour window, not the allowance. The Codex pricing page says Pro plans “currently have no five-hour limit”; OpenAI’s Pro help article does not mention a window and says that at a model’s limit it may be unavailable until its allowance resets, with ChatGPT showing the reset time when it can. On any plan, reaching a limit in the middle of a turn lets that turn finish. After that, Plus and Pro can buy credits, Business workspaces can buy shared workspace credits, and anyone can keep working locally with an API key at API rates. The usage dashboard, or /status in the Codex CLI, shows the live limit and reset time.

What this means if you run an agent

OpenClaw can sign in with a ChatGPT account and draw on these same allowances, so the answer to “what does the model cost?” can be “nothing beyond the subscription you already pay.” Four things decide whether that holds for an always-on agent:

Connecting from a server also needs one security setting enabled first. For the full cost picture including the machine the agent lives on, our OpenClaw cost breakdown is here.

Run Codex on an always-on developer pod.

A developer pod is a permanent cloud computer (VPS), set up and secured for you, with your pick of Claude Code, Codex, OpenCode, Pi, Hermes and OpenClaw installed. Run more agents at once than your laptop can hold, and keep them working when it’s closed. From $24 a month, built in about ten minutes.