How Much Does ChatGPT Actually Cost a Business? (Plus, Team, Enterprise)

If you have started pricing ChatGPT for your office, you have probably noticed the tiers multiply every time you look: Free, Plus, Pro, Business, Enterprise — and, in the current 2026 lineup, a new "Go" tier as well. (People still search for a "Team" plan; the tiers OpenAI shows today are Free, Go, Plus, Pro, Business, and Enterprise, so match your budget to those.) The prices are per user, per month, which sounds small until you multiply it by everyone who will actually use it, then by the number of years you will keep paying. This guide walks through what each tier costs, which ones actually protect your data, and how the whole bill compares to buying one machine and running AI on hardware you own.

The short answer: as listed on OpenAI's pricing page, the individual tiers are Free ($0/month), Plus ($20/month), and Pro ($200/month); the ChatGPT Business plan is $25 per user per month billed annually and starts at 2 users; and Enterprise pricing is not published — it says "Contact Sales" for a custom quote. Those figures were read from OpenAI's pricing page and can change, so treat them as a starting point and confirm the live numbers. The catch that matters for a clinic, firm, or accounting office isn't the sticker price — it's that only the Business and Enterprise tiers say your data isn't used to train OpenAI's models by default. Everything below is the detail behind that.

What Does Each ChatGPT Tier Actually Cost?

Here are the tiers as OpenAI presents them, with the prices read from its pricing page. OpenAI prices paid plans per user, per month, and offers monthly plans for Plus and Business plus annual plans for Business and Enterprise (OpenAI pricing).

Tier	Price (per user/month)	Billing	Trains on your data by default?
Free	$0	—	Yes — opt-out available (OpenAI)
Plus	$20	Monthly	Yes — opt-out available
Pro	$200	Monthly	Yes — opt-out available
Business	$25 (billed annually)	Annual (monthly available at a higher rate); starts at 2 users	No (OpenAI)
Enterprise	Not published — "Contact Sales"	Annual, custom quote	No

Two honest caveats before you build a budget on this table. First, the exact dollar amounts were read from OpenAI's pricing page and may have moved since — verify them live. Second, OpenAI's 2026 pricing page renders its numbers in a way that also includes a newer "Go" tier whose price we could not confirm, so this guide deliberately doesn't quote a Go figure. If you see one on the live page, take it from there, not from here.

Which Tiers Actually Protect Your Confidential Data?

This is the line that should drive the decision for a regulated office, and it runs straight down the middle of the price list.

On the consumer tiers — Free, Plus, and Pro — OpenAI's pricing comparison marks your content as used to train its models, with an opt-out available. For the business tiers, the same row reads simply "No." OpenAI states it plainly in its help documentation: "By default, we do not train on any inputs or outputs from our products for business users, including ChatGPT Business, ChatGPT Enterprise, and the API" (OpenAI Help Center). Its enterprise privacy page puts the commitment in similar terms, listing among its guarantees "We do not train our models on your data by default" and "You own your inputs and outputs (where allowed by law)."

So the practical meaning of that $25-per-user Business line isn't really the features — it's that it flips the training default off. On consumer ChatGPT, the protection exists only if every staff member remembers to toggle it; on Business, it's the starting position.

A few more things the paid tiers buy, in OpenAI's own words. For ChatGPT Business, deleted or unsaved conversations are "removed from our systems within 30 days, unless longer retention is required by law, or is reasonably necessary to protect our services" (enterprise privacy page) — a real retention window, not "forever," but also not instant. And if keeping data inside a specific country is a hard requirement for you — a common one in regulated work — that is a question to put directly to any cloud vendor before you commit, rather than assume from a tier name; our note on data residency and sovereignty explains why the distinction matters. Whether ChatGPT clears your own legal bar is a separate question — see our note on whether ChatGPT is HIPAA compliant and the broader safety walk-through.

What Does ChatGPT Actually Cost Your Whole Office Over Three Years?

A single $25 seat feels trivial. The number that should drive a budget is the whole team, across the years you'll keep paying. Here's the Business tier ($25/user/month billed annually = $300 per user per year) at three office sizes, over one and three years. These are illustrative totals built from the per-seat figure, not a quote.

Office size	Per year (Business)	Over 3 years
5 people	$1,500	$4,500
10 people	$3,000	$9,000
20 people	$6,000	$18,000

Two features of that table matter. It recurs — the three-year column is not a one-time spend, it's what you've paid by year three and it keeps going. And it scales straight up with head-count: every new hire is another $300 a year, indefinitely. That's the nature of per-seat pricing, and for plenty of offices it's a perfectly reasonable trade — someone else runs the servers, ships the newest models, and handles the upkeep.

How Does That Compare to Running AI on Your Own Hardware?

Local AI — running an open model on a computer you own, using free software such as Ollama — inverts the cost shape entirely. Instead of a per-seat fee that recurs forever, you make a one-time hardware purchase that the whole office shares, and the software and models are free. (If the term is new, our What is Ollama? explainer covers the mechanics in plain language.)

The hardware anchor: a base Mac mini starts at $799, and the M4 Pro configuration at $1,599 as of July 2026 (Apple). One such machine on the office network can serve several people. Set that one-time number against the recurring subscription:

	Cloud (ChatGPT Business)	Local (shared Mac mini)
Up-front	$0	$799–$1,599, once
Per user, per year	$300, every year	$0
10 people, 3 years	~$9,000	$799–$1,599 + electricity and upkeep
Scales with head-count?	Yes — every seat recurs	No — same box serves the team
Confidential work leaves the building?	Yes — processed on OpenAI's servers	No — processed on your machine

The honest reading of that table: for one or two users, the subscription usually wins on pure dollars, and local AI is not automatically cheaper — anyone who says otherwise flatly is selling something. But across a 5-to-20-person office kept over three years, a shared box the whole team uses often lands well under the recurring bill, and the confidential material never leaves your premises. Budget the local side as a range, not a point — you'll add electricity, the occasional replacement, and your own upkeep. Our local-AI cost guide and cost worksheet let you run your own numbers, and the full local-vs-cloud comparison covers the capability trade-offs the dollars alone don't show.

Is ChatGPT Business Worth It, Then?

Often, yes — and sometimes no, honestly. If your office only ever uses AI for public, non-sensitive work, the Free or Plus tier is genuinely fine, and paying per seat for a confidentiality guarantee you don't need is just cost. If you're routing client, patient, or case material through it, the jump to Business (or Enterprise, where residency or a signed agreement is required) is the tier that actually turns the training default off, and the standard cloud-plus-contract route is a legitimate way to run. The failure mode isn't paying for ChatGPT — it's paying for a consumer seat and pushing confidential work through it anyway.

The third option is the one the price list doesn't mention: keep the sensitive work on hardware you own. Some practitioners reach it on their own. As one trial lawyer on r/LawFirm put it, "sharing that information with ChatGPT (OpenAI), is not a good idea. Using your own self-hosted language model would be better." That path costs real money up front, gives you a machine to maintain, and runs models a step behind the frontier — that's the trade, stated plainly. In exchange, there are no per-seat fees that grow with your team, and the question "what is the vendor doing with our client data?" stops existing, because there is no vendor — wherever your building is. To see which of your work actually needs that and which is fine on a cheap cloud seat, the readiness quiz and the private-options comparison are the fastest way to sort it.