Claude Team costs 18 euros per seat per month, ChatGPT Business 21 euros, both on annual billing as of 11 August 2026. Three euros apart per person. Price is not what separates these two tools in a company, your existing tool estate and the quality of the rollout are.
This article compares the Claude and ChatGPT business plans on what actually gets decided in a management meeting, namely the real price per tier, the usage cost nobody budgets for, the features missing on each side, and the way each tool settles into a team. The figures come from the vendors' own pricing pages, checked on the day of publication.
Claude or ChatGPT, the short answer
For a company under 150 people with no IT department, Claude Team is the fastest entry point, with contractual data guarantees from the first seat and a setup that takes a day. For a multi country organisation that needs data residency in several regions and volume negotiation, ChatGPT Enterprise takes the lead. For a company already running Microsoft 365, the real question is neither of the two, it is about Copilot.
The rest of this article lays out the numbers behind those three recommendations. One useful disclosure before going further, Tandem supports teams on both ecosystems and has no stake in either one winning.
What Claude and ChatGPT really cost for a business
On the Anthropic side, the Claude pricing page lists a standard seat at 18 euros per month on annual billing, 21.04 euros monthly, for teams of 2 to 150 people. The premium seat rises to 90 euros per month on annual billing and unlocks five times more usage. The Enterprise plan works differently, 18 euros per seat plus consumption billed at API rates.
On the OpenAI side, ChatGPT Business is 21 euros per user per month on annual billing, 26 euros monthly, from two users up. ChatGPT Enterprise stays quote only, billed by credit or by token, with no public rate.
Scaled to a team of twenty over a year, the gap between the two standard plans comes to 720 euros. That is a line item which justifies neither a steering committee nor three weeks of comparison.
| Plan | Per person per month | Twenty people for a year |
|---|---|---|
| Claude Team, standard seat | 18 euros | 4,320 euros |
| ChatGPT Business | 21 euros | 5,040 euros |
| Microsoft 365 Copilot, add on | 15.60 euros excl. tax | 3,744 euros excl. tax, Microsoft 365 licence on top |
| Claude Team, premium seat | 90 euros | 21,600 euros |
The real cost sits in usage, not in the subscription
The line item that surprises companies is not the seat, it is consumption. A language model rereads the whole conversation with every new message, so the cost of an exchange grows with its length.
Louis Graffeuil measured the effect in May 2026 over a thirty message session. The first message consumes around 500 tokens, the thirtieth consumes 15,500, thirty one times more, for a cumulative 232,000 tokens. Over a long conversation, close to 98 % of tokens therefore go to rereading the history rather than producing work.
This mechanic has two very concrete consequences. On fixed seat plans it explains why a team hits usage limits well before it expected to, and why the temptation of the higher tier arrives quickly. On Claude Enterprise, where consumption is billed at API rates, it shows up directly on the invoice.
The countermeasure costs nothing. Ask for a condensed summary of the conversation, open a new thread, paste the summary as the first message. Teams trained on that reflex cut their consumption without changing plan. The right lever is not the higher tier, it is the working habit.
Should you commit to annual billing?
Annual billing saves 14 to 19 % depending on the plan, and that is exactly what makes it risky in a market that shifts every quarter. A vendor can ship a feature that changes your decision six weeks after signature, and you will be committed for ten more months.
His recommendation fits in one sentence, keep the freedom to switch ecosystem. In practice the sensible compromise is to start monthly on five to ten seats for a quarter, then move to annual billing on the scope actually used. You pay three euros more per person for three months and you buy the right to be wrong.
What Claude does better, what ChatGPT does better
Both models perform comparably on most office tasks, and that convergence is the defining fact of the last eighteen months. The useful difference lies elsewhere, in the features present or missing, and in how each tool connects to your data.
Claude leads on three fronts.
- Long context opens 200,000 tokens on the standard seat and 500,000 on the premium seat as well as on Enterprise, which matters as soon as a team works on entire contracts or reports.
- Customisation runs through skills, which document a procedure once and for all, and through connectors, which wire Claude into your business tools.
- Execution belongs to Claude Code and Cowork, which handle long tasks directly on your own files.
Claude's limits are real and worth knowing before signing. No image or video generation, no deep research mode, and daily plus weekly usage caps even on paid plans. The article on why teams are switching to Claude goes through those trade offs tool by tool.
ChatGPT keeps two structural advantages. Ecosystem breadth first, with connectors to Microsoft 365, Google Drive, Slack, GitHub, Linear and Figma, plus image generation and deep research included in the Business plan. Regulatory coverage second, with data residency offered in ten regions on the Enterprise plan, a decisive argument for a multi country organisation.
Why the rollout matters more than the model
This is where budgets get lost. A team handed an access link and an announcement email produces two weeks of curiosity then a dormant subscription. Louis Graffeuil sums up the flaw in one image, many companies deploy their AI assistant the way they deployed an office suite twenty years ago, they sign the licences, they send the announcement and they wait.
His example is Microsoft Copilot, used by many organisations as a ChatGPT at 360 euros per seat per year while the product has become an agent platform wired into email, files and calendars. The observation applies word for word to Claude and to ChatGPT. A licence is bought in ten minutes. Usage is installed over a quarter.
What Tandem sees across more than forty client companies, including PayFit, InfraVia, Doctolib and KparK, comes down to three conditions.
- Two or three named use cases before signature, each described in one sentence and attached to a specific team.
- One person accountable for adoption internally, who answers questions and collects feedback from the teams.
- A short ritual that survives the consultant leaving, for instance thirty minutes a week for a quarter.
The article on companies that see no return on their AI investment revisits the steps those organisations had skipped.
When those conditions are missing, picking the tool comes too early. An AI audit first maps the tasks worth transforming, AI literacy work installs the shared foundation, and a copilot rollout wires the chosen tool into real processes.
Which tool for which business context
The choice hinges on the tool estate already in place and on the team's dominant craft, not on this month's model leaderboard. Here is the grid Tandem uses in framing workshops.
The Microsoft 365 case deserves one more word. The Microsoft 365 Copilot add on is listed at 15.60 euros excluding tax per user per month on annual billing until 30 September 2026, 18.20 euros excluding tax afterwards, and it requires an eligible Microsoft 365 subscription. Its appeal is not the model, it is where it shows up. AI arrives inside the tools teams already have open, with no extra tab to impose, and Microsoft has integrated Claude there.
Do you really have to pick one tool?
For a team above thirty people the answer is often no. Neither ecosystem is expensive per seat, and different roles do not have the same needs. A technical team gets more out of Claude, a marketing team uses ChatGPT image generation every week, a support team mostly needs the assistant to live inside its ticketing tool.
Running both carries a hidden cost you have to accept, dual governance. Two admin consoles, two connector policies, two sets of practices to maintain. That cost stays acceptable above roughly thirty users, when one person owns the topic internally. Below that, one well deployed tool beats two half adopted ones.
The gap that matters is not between the two vendors anyway, it is between equipped companies and the rest. In 2025, 18 % of French companies with ten employees or more report using at least one artificial intelligence technology, against 10 % in 2024 and 6 % in 2023, according to the Insee ICT survey published on 21 July 2026. The rate reaches 58 % among companies of 250 employees or more.
Claude or ChatGPT, our recommendation for 2026
Claude Team at 18 euros a seat is the best starting point for a smaller company or a technical team, thanks to long context, skills and immediate setup. ChatGPT Business at 21 euros remains the default for a team that needs image generation, deep research and the widest range of connectors. ChatGPT Enterprise earns its price on data residency constraints and large seat counts. A company already on Microsoft 365 starts with Copilot and adds Claude where the value is proven.
Do not spend more than one meeting on the three euro gap. Put that energy into the two or three use cases that will carry the rollout. Tandem frames these decisions with teams in small and mid sized companies, starting from real tasks rather than pricing tables. If your team is starting on Claude, Claude training is the entry point. If the topic becomes automation at scale, an AI copilot rollout is the right door.
