ChatGPT, Claude or Gemini: which one for your SME?

Three assistants dominate the market in 2026: ChatGPT from OpenAI, Claude from Anthropic and Gemini from Google. For an SME, the question is not "which is best". It is "which one will my team still be using in three months".

One disclosure: at PHTM we work with Claude every day, including to build our clients' websites and automations. Declared bias. The prices below are verifiable, and for many SMEs our honest answer is: the one already inside your tools.

The short answer

All three bill in dollars. All three commit, on their business tiers, not to train their models on your data.

The criterion that actually decides: your ecosystem

If your company lives in Google Workspace, start with Gemini. It is already paid for in your subscription, already in Gmail and Docs, and adoption requires no extra tab. An average assistant everyone uses beats an excellent assistant nobody opens.

If you are on Microsoft 365, the same logic points to Copilot, which we left out of the table but which plays exactly this role for Microsoft.

If you are locked in nowhere, the choice is between ChatGPT and Claude, and it becomes a question of tasks.

What each does best

ChatGPT is the most versatile and the best known. It is often the tool your team already uses privately, and that familiarity is worth money: half the training is already done. Research, images, brainstorming, general questions: it does everything competently.

Claude is strongest on long text and careful work: analysing a thirty-page contract, drafting a structured offer, holding a line of reasoning across an entire document. It is also the strongest at code, which explains our internal choice, detailed in our Claude Code vs Codex comparison.

Gemini is the most integrated. Summarising an email thread in Gmail, generating a table in Sheets, preparing a meeting from the calendar: it sits where the work already happens.

On raw quality, all three publish comparisons showing themselves winning, and the gap flips with every release. Choosing on leaderboards is the best way to change your mind every quarter.

Your data, Swiss law, and the line not to cross

The simple rule: free accounts are for testing, never for client data. The business tiers of all three vendors commit not to train models on your content, which free accounts do not guarantee in the same way.

Under the Swiss data protection act (nLPD), the decisive work is on your side: write half a page of internal rules stating what may enter the tool and what never does (medical data, salaries, sensitive personal files). Most Swiss SMEs have not done this, and it is the easiest risk to remove. Ask your vendor about data residency too: European options exist, to different degrees per offer.

Our honest advice

For 80% of SME uses (writing, summarising, translating, sorting), all three do the job, and the difference is decided by adoption, not by the model. Take the one with the shortest path to your team, run it for a month on real tasks with two or three people, and measure something: quote turnaround, hours of email triage.

And keep one distinction in mind: an assistant helps a person do a task. When the same task comes back daily with the same rules, it no longer belongs to an assistant but to an automation that runs without being prompted. Our method for sorting the two is here.

If you want to know which of the three fits your tasks, describe your week to us: the diagnostic is free, and the answer is sometimes "none of them, start elsewhere".

Frequently asked questions

Are the free versions enough?

For trying things out, yes, with non-sensitive data. For regular professional use, usage limits and data-handling terms make the paid tiers necessary. At $14 to 25 per person, the maths works out against a single hour saved per month.

Can we put client data in?

With a configured business account, written internal rules and common sense about sensitive data, yes for most uses. Without those three conditions, no.

Do we need to train the team?

Yes, but not much. Two hours demonstrating concrete cases on your real tasks beat any generic course. The classic mistake is opening the accounts and waiting for usage to appear by itself.

Can we switch later?

Yes. There is almost no exit cost: conversations do not migrate, but habits rebuild in days. The only real commitment is the ecosystem (Workspace, Microsoft 365), not the assistant.