Codex Limits: ChatGPT Plus vs Pro vs Business

Every ChatGPT plan includes Codex; the window sizes differ. How Plus, Pro, and Business capacity compares, which tier fits which workload, and the cost math as estimates.

Every ChatGPT plan includes Codex; what you buy with a bigger plan is bigger windows. Plus covers a working developer’s interactive use, the Pro tiers exist for agent workloads, and Business allocates capacity per seat for teams. OpenAI varies the exact limits by plan and model and adjusts them over time, so current figures live at developers.openai.com/codex/pricing; this page compares the tiers structurally and gives our planning estimates for what each absorbs. The mechanics of the windows themselves are in Codex usage limits, explained.

The comparison

All tiers share the same machinery: a rolling window of roughly five hours, weekly components on some plans, one pool shared across every Codex surface, and on-demand credits for Plus and Pro. The table below is how we size plans for customers. The dollar figures are our planning estimates of monthly API-equivalent throughput, derived from observed workloads; they are estimates, never guarantees.

PlanMonthly priceOur planning estimateCredits available
Free / Go$0 / entryEvaluation scaleSee OpenAI’s pricing page
Plus$20~$700 API-equivalentYes
Pro 5x$100~$3,500 API-equivalentYes
Pro 20x$200~$14,000 API-equivalentYes
BusinessPer seatScales with seatsSee OpenAI’s pricing page

Edu and Enterprise mirror Business: Codex included, per-seat capacity, admin controls, pricing by agreement.

Which tier fits which workload

Free and Go answer one question: is Codex any good for your work? Run it on a real repo for a week. The windows are small, and that is fine for the job they do.

Plus is the daily driver. Interactive coding, a few codex exec scripts, occasional cloud tasks. The 5-hour window will pinch on your heaviest days, and the weekly component is where enthusiastic agent experiments go to die. If you hit limits on Plus once a quarter, stay on Plus.

Pro 5x is where agent workloads start. Scheduled jobs, an automation or two running through the day, regular long sessions. As arithmetic: if your workload would cost around $3,500 a month at API rates, this tier plus a $129 ProxyLLM subscription lands near $229 a month. A $3,500 monthly OpenAI API bill maps to about $229 on a subscription-backed setup. That sentence is the entire category, and it stays an estimate until your own request log confirms it.

Pro 20x is for fleets: parallel agents, always-on pipelines, agency-scale throughput. If you are asking whether Pro gives you API-style access to go with that capacity, the honest answer is its own article: is there an API for ChatGPT Pro?

Business fits teams that want one invoice and admin control. Capacity scales by adding seats, and each seat is a person: OpenAI’s terms do not allow sharing a login to pool capacity. Per-seat windows make Business strong for many moderate users and weak as a substitute for one very heavy account.

The signal you are on the wrong tier

Watch which limit you hit and how often:

  • Hitting the 5-hour window occasionally is normal on every tier; it is a pace limiter.
  • Hitting the weekly cap monthly means your sustained load outgrew the plan. Upgrade, or add a lane.
  • Buying on-demand credits more than rarely means you are paying metered rates on top of a flat plan, which is the worst of both. The next tier up is usually cheaper than habitual credits.

The upgrade question is arithmetic, not loyalty: compare a month of credit purchases against the price gap to the next tier.

When one account is the real bottleneck

Past a certain load, no single tier behaves. Burst days blow through windows that average days never touch, and a plan sized for your peaks is overpriced for your median. The fix is structural rather than tier shopping: run your sustained load on a right-sized plan and give overflow somewhere to go, a second account you own or your own OpenAI API key. We automate that ordering, with a per-request log of which lane served each call, and the design is documented in fallback lanes, explained.

Plan capacity is the input; your workload is the test. Put your actual monthly API spend into the calculator and it will say which tier covers it, with the math shown.

Frequently asked questions

Which ChatGPT plans include Codex?

All of them: Free, Go, Plus, Pro, Business, Edu, and Enterprise. What differs is capacity. Each tier applies the same system of rolling 5-hour windows, with weekly components on some plans, at different sizes that OpenAI publishes on its Codex pricing page.

Is ChatGPT Pro worth it for Codex?

If Plus locks you out on normal working days, yes, that is the signal. Pro exists for agent workloads and sustained heavy use. As a planning estimate, we map Plus at roughly $700 of API-equivalent work per month and the Pro tiers at roughly $3,500 to $14,000; treat those as estimates, never guarantees.

Do Plus and Pro both get on-demand credits?

Yes. OpenAI lets Plus and Pro users buy metered credits to continue after hitting a limit. Availability and pricing for other plans is documented on OpenAI's Codex pricing page.

How do Codex limits work on ChatGPT Business?

Business, Edu, and Enterprise include Codex with capacity allocated per seat and admin controls on top. Accounts remain personal: seats may not be shared between people under OpenAI's terms, so capacity scales by adding seats, not by sharing logins.

More on Codex CLI
Codex Hosted · the main feature

Run your AI workloads on your ChatGPT subscription.

ProxyLLM runs OpenAI's Codex for you, signed in with your own ChatGPT account. Your apps call one OpenAI-compatible endpoint and the work bills to your flat plan instead of per-token API pricing.