ChatGPT alternatives for Australian businesses: an honest comparison

Short answer: For an Australian business that needs more than ChatGPT's free tier, the three alternatives worth evaluating are Claude (strongest at documents and reasoning), Microsoft 365 Copilot (if your team already works in Office) and Gemini (if you already pay for Google Workspace). Which one fits depends on your data rules, your existing tools and how many seats you need.

Most "ChatGPT alternative" articles list fifteen tools, rank them by feature count and tell you nothing about the four things that actually matter when you are buying seats for a team. This post covers six alternatives, each with a position taken, and compares them on the questions a business owner needs to answer before signing an annual contract.

Four things the listicles never compare

If you search "chatgpt alternative" today, you will find affiliate listicles comparing chatbot features. Features change every month. The structural questions that determine whether a tool is safe and practical to deploy in a business do not.

1. Whether your inputs are used for training

Every AI vendor has a different default. On ChatGPT's free and Plus plans, your conversations are used to improve OpenAI's models unless you toggle it off in Settings⁵. On Claude's free and Pro plans, training is opt-in and off by default since mid-2026². If your team pastes client data into a tool that trains on it by default, you have a privacy problem and you may not know it exists. An AI policy that names your approved tools and sets data rules is the minimum responsible step.

2. Admin controls and seat management

A business with more than one person using an AI tool needs central billing, the ability to add and remove users, and ideally SSO so employees do not create personal accounts with company data. Not every tool offers this, and the ones that do often lock it behind a higher-priced tier. If nobody controls who has access, you do not have a tool. You have a liability.

3. Where the data is processed

Australian Privacy Principle 8 requires you to take reasonable steps to ensure an overseas recipient handles personal information in line with the APPs¹². Most AI tools process data in the United States. Microsoft 365 Copilot is the notable exception: if your M365 tenant is provisioned in Australia, your data stays in the Australian datacentre region⁶. For everyone else, the question is whether you can live with US processing or whether you need to keep data onshore.

4. Cost per seat at real team sizes

A tool that costs US$20 a month for one person costs US$500 a month for twenty-five. The per-seat price, whether annual billing is required, and whether there is a base fee on top of the seat cost all matter. We compare the real monthly cost at five and twenty-five seats below.

Claude

Claude is built by Anthropic and accessed through claude.ai, desktop apps, mobile apps or an API. It is the strongest option for long-document work: a 200,000-token context window on all plans, or 500,000 on Enterprise (roughly 150,000 to 375,000 words), means you can paste an entire contract, tender document or compliance report and get a structured summary back¹. Code generation and careful, instruction-following reasoning are its other genuine strengths.

The Team plan costs US$20 per standard seat per month on annual billing, or US$25 on monthly billing¹. Admin controls include SSO, central billing and a workspace where conversations are not used for model training by default². Data is processed in the United States. There is no Australian region through the standard claude.ai interface. If your organisation accesses Claude through the API on AWS Bedrock, you can route inference to the AWS Sydney region (ap-southeast-2), which keeps prompts and responses in Australia, but that requires a developer to set up³.

The weakness is integrations. Claude does not sit inside your email client, your spreadsheet or your project management tool the way Copilot does. It is a standalone interface, and the value it delivers depends on your team actually opening it and pasting work in. For a deeper look at where Claude fits in a small business, the Claude for small business guide covers the practical details.

Verdict: Best if your team's bottleneck is reading, writing and reasoning over long documents, and you do not need deep integration with Office or Google apps.

Gemini with Google Workspace

If your business already pays for Google Workspace, you already have Gemini. It is included in every Workspace tier, from Starter through Enterprise, with more capable access as you move up the plans⁷. On Standard and above, Gemini works inside Gmail, Docs, Sheets, Slides, Drive, Meet and Chat. You do not need to buy a separate AI subscription or ask your team to learn a new interface.

Google does not use Workspace customer data to train Gemini models⁸. Admin controls are whatever you already have in the Google Admin console: user management, DLP policies, audit logs and the ability to enable or disable Gemini features by organisational unit. Existing Workspace security controls automatically apply to Gemini interactions.

The data residency picture is less clear than it looks. Google Workspace data regions for Gemini currently support the US and EU only, and only on Enterprise Plus and Frontline Plus editions⁹. Australia is not a supported Gemini data region, even if your Workspace tenant is provisioned in Australia. Your regular Workspace data (email, documents) follows your tenant's residency settings, but Gemini AI processing does not.

Verdict: The obvious first choice if your business is already on Google Workspace. Not worth buying a Workspace subscription for Gemini alone.

Microsoft 365 Copilot

Copilot is the only alternative that works natively inside Word, Excel, PowerPoint, Outlook and Teams. If your business already runs on Microsoft 365, Copilot turns every Office application into an AI-assisted tool without asking anyone to learn a new interface. That structural advantage is something no standalone chatbot can match.

The Copilot add-on costs US$18 per user per month on annual billing through December 2026 (discounted from US$21), and requires a qualifying M365 licence. If you do not already have M365, the bundled M365 Business Standard with Copilot package is US$23.50 per user per month on annual billing⁶. Microsoft states that Copilot does not use customer data to train foundation models⁶.

The data residency position is the strongest of any tool on this list. If your M365 tenant is provisioned in Australia, your data stays in the Australian datacentre region. For a business that handles personal information under the Privacy Act and wants to keep AI processing onshore, this is the path of least friction.

The trade-off is that Copilot is best at making Office better, not at general-purpose AI work. If you need to process a 100-page document, write code or do open-ended research outside the Microsoft ecosystem, a standalone tool like Claude or ChatGPT will do those jobs more effectively.

Verdict: The right choice if your team lives in Microsoft 365 and you want AI that works where they already work, especially if Australian data residency matters.

Perplexity

Perplexity is an AI-powered research tool, not a general-purpose chatbot. Its strength is answering factual questions with inline citations, so you can see where the information came from and check it yourself. For a business that needs research, competitor analysis or market intelligence, the output is immediately useful because the sources are visible.

The individual Pro plan costs US$20 per month. The Enterprise Pro plan, which is the tier with admin controls and data privacy protections, costs US$40 per seat per month or US$400 per seat per year¹⁰. Enterprise data is not used for model training¹⁰. You can mix Pro and Max seats in one organisation, and seats are movable between team members. Enterprise plans include SSO, central billing and seat management¹⁰.

At US$40 per seat, Perplexity Enterprise is twice the cost of Claude Team or ChatGPT Business for the standard AI functionality. The premium buys you cited research, not general-purpose writing or analysis. If your team does not do research-heavy work, the premium is hard to justify. Data is processed in the United States with no Australian region available.

Verdict: Worth it if your team's primary need is research with verifiable sources. Expensive and narrow for general business use.

Mistral Vibe (formerly Le Chat)

Mistral Vibe (rebranded from Le Chat in May 2026) is built by Mistral AI, a French company. For a business that cares about European data processing, Mistral has a structural advantage: it is an EU-headquartered company operating on EU infrastructure, with GDPR as the regulatory baseline rather than a compliance overlay¹¹.

The Pro plan costs US$14.99 per month for individuals. The Team plan costs US$24.99 per user per month¹¹. Enterprise plans offer SAML SSO, audit logs, custom models and white-label options at custom pricing. The Team plan includes domain verification and data export, but SSO is only available on Enterprise.

On the free plan, Mistral uses your conversations for model training by default, with an opt-out available in the admin panel. On Pro plans, training is also enabled by default unless you opt out¹³. Enterprise plans exclude your data from training by default. This is a notable difference from Claude Team and ChatGPT Business, where the business-tier plan itself turns off training by default.

The model ecosystem is smaller than ChatGPT's or Claude's. Fewer third-party integrations, a smaller community and less documentation in English. Mistral's models (including Mistral Medium 3.5 with a 256,000-token context window¹¹) are capable, but the broader ecosystem of extensions and plugins that surrounds ChatGPT or Claude does not exist here yet.

Verdict: The strongest option if EU data processing is a priority. The lack of training-off-by-default on Team plans, and no SSO below Enterprise, makes it a harder sell than Claude or ChatGPT for a small Australian business.

Self-hosted with Ollama

Ollama is a free, open-source tool (MIT licence) that runs large language models on your own hardware¹⁴. It installs on macOS, Linux and Windows, and gives you access to models like Llama 3.3, Mistral, Gemma and Qwen that run entirely on your machine. Nothing you process ever leaves your computer. Ollama's own privacy policy states plainly: "We do not collect, store, transmit, or have access to your prompts, responses, model interactions, or other content you process locally"¹⁵.

For a business that genuinely cannot send data outside its own network, whether for regulatory reasons, contractual obligations or because the data is too sensitive to risk, this is the only option on this list that solves the problem completely. No vendor sees your prompts. No terms of service govern your data. It is yours.

The trade-offs are real. Local models at the sizes that run on standard business hardware (7 to 13 billion parameters, needing 8 to 16 GB of RAM) produce noticeably lower-quality output than GPT-4o or Claude Opus. They have no built-in web search, no third-party integrations and no admin console. Someone on the team needs to install it, keep it updated and troubleshoot when a model behaves unexpectedly. Running a larger model (70 billion parameters) needs a machine with at least 64 GB of RAM or a dedicated GPU, which is outside the range of a standard office computer¹⁴.

For a team that wants a chat interface, Open WebUI is a free, self-hosted frontend that sits on top of Ollama and provides multi-user support. LM Studio is a free desktop application with a visual model browser, usable for both personal and internal business purposes under its licence terms¹⁶.

Verdict: The right choice when the data cannot leave the building. Not a replacement for a cloud AI tool in general daily use.

How they compare: the table

All prices are in US dollars, on annual billing, and exclude GST. Copilot pricing assumes an existing qualifying Microsoft 365 licence; without one, the M365 Business Standard bundle with Copilot is US$23.50 per user per month. Gemini is included in all Google Workspace plans with no separate AI subscription. Mistral Vibe pricing is for the Team plan at US$24.99 per seat. Perplexity pricing is for the Enterprise Pro tier at US$40 per seat. Sources for all pricing are listed below and were verified in September 2026.

If your comparison is not between AI chatbots but between the automation platforms that connect them to your business systems, the n8n versus Zapier comparison covers the billing model difference that drives most of the cost gap at higher volumes.

Free tiers and what free costs you in data terms

Every tool on this list has a free tier or a free trial. It is tempting to let your team use them rather than pay for seats. Here is what free actually costs.

ChatGPT Free: your conversations are used to train OpenAI's models by default. You can toggle this off in Settings under Data Controls, but every new account starts with it on⁵. If a team member creates a personal free account and pastes client data in, that data is training material unless they knew to change the setting.

Claude Free: training is opt-in and off by default since mid-2026². This is a genuine difference from ChatGPT. The catch is tight usage limits: the free tier runs out faster than a day's work.

Gemini (personal): the consumer version of Gemini (not through Workspace) operates under different privacy terms from the business version. Google may use your conversations to improve products. A team member using Gemini through a personal Google account does not get the enterprise data protections that a paid Workspace account provides⁸.

Mistral Vibe Free: conversations are used for model training by default. You can opt out in the admin panel, but the default is on¹³.

Perplexity Free: limited searches per day, no enterprise data protections.

The pattern is consistent: free tiers either train on your data by default, lack the admin controls a business needs, or both. If your team uses AI tools daily, paying for a business plan is not a luxury. It is the cost of knowing where your data goes. The AI policy template covers how to set the rules for which tools are approved and what data can go into them.

When the honest answer is to stay on ChatGPT

Sometimes the right move is not an alternative at all. If your team already uses ChatGPT, they know the interface, they have their prompts tuned, and the switching cost is not zero. Retraining twenty people on a new tool costs more than the subscription difference.

ChatGPT Business (formerly Team, renamed August 2025) costs US$20 per standard seat per month on annual billing, the same as Claude Team⁴. On the Business plan, your data is not used for model training by default. You get admin controls, SSO, domain verification and a workspace that is separate from personal accounts⁵.

If the reason you are looking for an alternative is that someone told you not to paste client data into ChatGPT, the answer might not be a different tool. It might be upgrading from the free tier to the Business plan, which turns off training by default and gives you admin oversight. That, plus an AI acceptable-use policy that tells staff what data can and cannot go in, solves most of the problem without changing anything else.

ChatGPT also has genuine advantages the alternatives do not match: image generation with DALL-E, a broader plugin and integration ecosystem, built-in web browsing and the largest selection of models. If your team needs those capabilities together, no single alternative covers them all.

The question is always the same one we start with at Bulletproof: what is the job, and which tool fits the job? Not which tool won the latest benchmark. Start with the workflow, then pick the tool. If the workflow points back to ChatGPT, that is a perfectly legitimate answer.

Frequently asked questions

What is the best alternative to ChatGPT for business?

There is no single best. Claude is strongest at long documents and careful reasoning. Microsoft 365 Copilot is best if your team already lives in Word, Excel and Outlook. Gemini is worth trying first if you already pay for Google Workspace, because it is included. The right answer depends on where your team works and what data rules you need to follow.

Is there a free ChatGPT alternative that does not train on your data?

Claude's free tier does not use your inputs for training by default since mid-2026². Gemini in Google Workspace does not train on customer data on any paid Workspace plan⁸. For complete control, Ollama lets you run open-weight models locally at no cost, and nothing leaves your machine¹⁵. Every free tier has usage limits that make it impractical for daily business use.

Can I run AI locally without sending data to the cloud?

Yes. Ollama is a free, open-source tool that runs large language models on your own hardware. Nothing you process leaves your machine¹⁵. The trade-off is that local models are smaller than cloud models like GPT-4o or Claude Opus, so output quality is lower for complex reasoning and long documents. You need a computer with at least 16 GB of RAM for useful results.

Which ChatGPT alternative works with Microsoft 365?

Microsoft 365 Copilot is built into Word, Excel, PowerPoint, Outlook and Teams. It is the only alternative that works natively inside the Office applications your team already uses⁶. Claude also offers a Microsoft 365 extension on Pro plans and above, but it is a chat sidebar, not a deep integration into each application.

Is Claude better than ChatGPT for Australian businesses?

Claude handles long documents and nuanced writing more reliably. ChatGPT has stronger web browsing, image generation and a larger ecosystem of integrations. Neither offers an Australian data region through their standard chat products. For a detailed comparison, read our guide to Claude for small business in Australia.

What is the cheapest ChatGPT alternative for a team?

If your business already pays for Google Workspace, Gemini is included at no extra cost⁷. For a standalone AI tool, Claude Team and ChatGPT Business both cost US$20 per seat per month on annual billing¹. Ollama is free to self-host but requires your own hardware and someone technical to maintain it¹⁴.