ENTERPRISE AI PRICING IN AUSTRALIAYour AI bill is three bills. Here is what each one costs.

Bill 1: what do ChatGPT, Claude, Copilot and Gemini cost per seat?

A seat is a monthly fee per person. You get a chat app, admin controls and data protections. You do not get unlimited use: every vendor now meters heavier features on top.

vendor price published by the vendor in that currency · converted by us at A$1 = US$0.69 (RBA, 6 November 2026) · estimate ours, illustrative

What this table shows:

• ChatGPT Business and Claude Team cost the same. US$20 a seat on annual billing, US$25 monthly, with a US$100 seat for heavy users. [1][2]
• Google is the cheapest way in if you already pay for Workspace. Gemini is part of the Business plans, and Business Standard is the first tier with Gemini in Docs, Sheets and Meet. [8]
• Microsoft’s bundles blur the AI price. Copilot Business alone is A$31.40. Business Standard with Copilot is A$35.20, including the Office apps. [3]

Which one would I pick? As of 10 November 2026, my view is Claude. It is the best all-round tool for analysis and business work. That is my opinion from using these tools with our clients, not a benchmark, and it may change next month.

What do enterprise AI plans cost?

Enterprise plans add single sign-on, user provisioning, audit logs and a contract. They are also where published prices stop.

Two gaps, stated plainly. OpenAI does not publish a ChatGPT Enterprise price, and Google’s Gemini Enterprise editions page lists no prices. [1][9] Third-party sites quote figures for both. We could not confirm them with the vendor, so we leave them out. Ask for a written quote.

Does the same plan cost more in Australia?

Slightly, for Microsoft. We compared each vendor’s Australian price with its own US price, converted at the RBA rate.

Small differences. But they add up over 1,000 seats and three years. Ask your reseller which currency you will be invoiced in.

Do you pay GST on AI subscriptions?

• Microsoft’s Australian prices exclude GST. Its billing page shows the amount including GST, if it applies, before you buy. [3][5]
• Anthropic lists prices before tax. Its pricing page says prices “don’t include applicable tax”. [2]
• OpenAI lists US dollar prices and says pricing may vary by country and currency. [1]
• If your business is registered for GST, give overseas vendors your ABN. The ATO says you should not be charged GST if you provide your ABN and state you are GST-registered. You may then need to account for GST yourself under the reverse charge rules. [13]
• Google’s help page lists AUD prices without saying whether GST is included. Check at checkout. [7]

General information, not tax advice. Ask your accountant how the reverse charge applies to you.

Bill 2: what does the API cost?

The API is how your own apps and AI agents use a model. You pay per token, roughly three-quarters of a word. Input (what you send) is cheap. Output (what the model writes) costs about five times more.

If you build an AI agent that reads invoices or answers customer emails, this is the bill that grows with volume.

Every one of these vendors halves the price for batch jobs and charges far less for cached input. [2][10][11] For more models, updated monthly, see our LLM price index.

Watch for regional surcharges. OpenAI charges 10% more on its regional processing (data residency) endpoints for models released on or after 5 March 2026. [10] Anthropic charges 1.1 times standard prices for US-only inference. [2] If your data must stay in a region, price the regional endpoint, not the global list price.

Two price rises are already scheduled. Google has scheduled Gemini 4 Argon to double on 1 December 2026, and Gemini 3.8 Flash to double on 1 January 2027. [11] If you are building on either, budget for the new price now.

What does one task cost?

When does a seat beat the API?

Here is the honest maths.

A light chat user uses about US$2.42 of tokens a month on Claude Sonnet 5.5. A US$20 seat buys about eight times that.

So why buy seats at all? Because the seat is not paying for tokens. It pays for the app, the admin console, single sign-on, data protections, and zero build work.

• Seats win for everyday chat, drafting and research, for people who use AI daily.
• The API wins for repeatable work at volume: reading invoices, triaging email, checking claims. You pay per task, not per person.
• Most companies need both. Seats for the people who use AI every day. AI agents for the processes nobody should be doing by hand.

For a company of 200 or 1,000 people, this is what I recommend: seats for regular users, and API agents for everyone else. Then set reasonable per-user caps and switch off overuse, so people get used to working within daily limits.

Our AI cost calculator runs this for your own volumes.

What if your data cannot leave your building?

Some data should never go to a public API: patient records, board papers, defence work, anything APRA cares about.

Then you run an open-weight model on your own GPUs, in an Australian private cloud or on your own hardware. The bill changes shape. Per-token costs mostly disappear. Hardware, power and, above all, people take their place.

What we see with SecGPT Vault, our private AI on our own GPU hardware: compared with a hosted API, the fixed cost is much higher, and the ongoing cost is practically zero. We do not publish a price for it. On-premises hardware prices vary a lot right now because of a shortage of parts, especially memory (RAM), so we quote each one. Contact us for a current figure.

Our private AI guide covers when private AI makes sense and how APRA’s standards apply.

Bill 3: what do AI consulting and builds cost in Australia?

This is the bill nobody puts on the pricing page. Here is what Australian firms publish on their own websites.

The prices are not like for like. A one-day audit and a ten-week build are different things. Read what each one includes.

Typical ranges by stage (our estimates)

Big consulting firms charge far more for strategy work alone. For how to plan the work so it reaches production, see our AI roadmap guide.

What does AI cost in total? Three worked examples

Illustrative. Not a quote, and not client figures. These show how the three bills add up, using list prices and the ranges above. Every line shows its assumption. Totals are rounded.

The 1,000-person alternative: a Copilot seat for everyone

1,000 people × A$44.90 × 12 months = A$538,800 a year (in the US, 1,000 × US$30 × 12 = US$360,000). [5][6] That is licences only. No agents, no process changes, no usage-based features.

Seats for everyone: A$538,800 a year, and no process changes. The mixed approach above can cost more in year one. But it buys something seats alone do not: processes that run by themselves, with a person approving the output.

The question to ask is not “which is cheaper?” It is “what does each dollar take off our cost base?”

How do you avoid overpaying for AI?

1. Do not buy seats for everyone on day one. Copilot Chat in Microsoft 365 and Gemini in Workspace cover light users. [6][8] Buy paid seats for the people who use AI daily, then check usage reports after 90 days. In my experience, most Copilot seats go unused. Our Copilot training covers how to measure and fix that.
2. Train people before you judge the seats. With Claude, I have seen roughly half the seats unused before training, and close to none after it. Training is where the productivity comes from. Our Claude training does this, as part of AI Academy.
3. Watch the annual lock-in. On Google’s annual plan you can only reduce licences at renewal. [7] Microsoft’s monthly Copilot billing still needs an annual commitment. [5] Start small, then commit once usage is steady.
4. Know where usage billing starts. Claude Enterprise bills usage on top of the seat. [2] Microsoft bills select advanced AI features by usage. [3] ChatGPT Business sells workspace credits beyond the included limits. [1] The biggest cost surprise I see is usage billing from unlimited overuse. People do not see the cost day to day. Tell them the limits, set caps before rollout, and they adjust.
5. Send each task to the cheapest model that passes your tests. Claude Haiku 5.5 costs one-twentieth of Sonnet 5.5. [2] Most extraction and sorting work does not need a frontier model. Our guide to reducing AI costs covers caching, batching and routing.
6. Use batch and caching. Batch jobs are half price at Anthropic, OpenAI and Google. Cached input costs 90% to 95% less than fresh input. [2][10][11]
7. Check scheduled price changes. Two Gemini models double in price within eight weeks of this page’s date. [11]
8. Price the people, not just the platform. In every example above, the build and the running costs outweigh the licences.
9. Measure cost per outcome. Cost per invoice processed, per claim checked, per ticket closed. Not cost per seat.