What a five to twenty person team actually needs from AI, what the separate subscriptions cost at both sizes, and the six setups that cover the same work
Aug 18, 2026 · 13 min read
A team of five to twenty people usually needs one place where routine AI work happens, access to more than one model family, shared project context, and spending controls that act before the invoice. It rarely needs every employee holding a separate seat on four provider plans. The eight workspaces compared on the same criteria below are Playgram, WorkLLM, nexos.ai, Langdock, TeamAI, Aymo, Magai and TypingMind.
The reason the question comes up at this size is that the work stops being individual. Two people end up on the same client, a brief gets uploaded to three products, and the founder cannot say which seats are still used. As an example, four single-vendor team plans came to about $101 per person a month at July 2026 list prices, which is roughly $505 for five people and $2,020 for twenty1, 2, 3, 4.
This guide sets out what belongs in a small-team stack, what the separate subscriptions cost at both sizes, and the six setups that cover the same work. It ends with a two-week pilot a founder or an operations manager can actually run.
You approve the spending and you are also the person who administers it.
Marketing, sales, operations and product each reach for a different model.
Five people works today and the same stack has to survive a hiring quarter.
One or two occasional users, or a suite whose built-in AI already covers the work.
Cost, context and control sit in separate accounts that do not talk to each other, and a company this size has nobody whose job is to join them up.
Separate subscriptions create a fixed charge per assigned person even when somebody opens a product twice that month. As an example, four single-vendor team plans came to about $101 per person a month at July 2026 list prices. That total takes ChatGPT Business at $25, Claude Team at $25, Gemini Business at $21 and Grok Business at $301, 2, 3, 4. It is roughly $505 for five people and $2,020 for twenty, and it is an illustration rather than a rate, because a cheaper mix is easy to assemble. The same person may need one provider for a recurring workflow, another for a different one and a third only occasionally, which per-seat pricing cannot reflect. Zylo's 2026 index puts average unused license volume at 36 per cent across the organisations it studied32.
People switch sites, rebuild the same task in each product and upload files a second time. Comparing two models on the same job is harder than it sounds, because keeping the better answer and carrying on from it means moving the content by hand. A small team feels that more than a large one, since the person doing the moving is usually the person who also has to finish the work.
Chat history belongs to a provider account and usually to one person, so instructions, corrections and accepted decisions end up scattered across several systems. When a teammate takes over they typically receive only the final output, without the prompt history, the rejected options, the source files or the reasons behind the decisions. Changing model creates the same gap, because unless the workspace carries the thread forward somebody has to paste a summary or start again. That is why shared history and shared memory are different purchases, and why a demo of either looks the same.
Separate services mean separate user lists, billing screens, permissions and retention policies, with no common view of who uses AI or which models cost the most. Nobody can easily see which information goes to which provider, whether a departing employee still holds paid seats, or who owns the shared prompts, agents and project files. In a company of this size that work falls to a founder or an operations manager rather than to an administrator, so it gets done late or not at all.
Five checks, ordered by what a team this size notices first. The last one is where a plan that fits at five people stops fitting at twenty.
The workspace should reach OpenAI, Anthropic and Google models, with Grok and specialist models where the work needs them. Check whether model use is included, credit-based or paid through your own provider keys, and whether changing model mid-thread keeps the conversation and its files.
Check each product separately for current web search, deep research, document creation and analysis, spreadsheet work, image generation, video generation, code review, and chats that leave no history. Most small teams need the first four and buy the rest only if a workflow needs them.
Instructions, source files, accepted decisions and the related conversations belong in a project rather than in one person's history. Add folders, shared prompt libraries, agents and clear ownership, which matter far more in week five than they do during a demo.
An admin should see activity by person, model and period with the cost beside it, restrict expensive models, control connectors and stop overage before the invoice. A new member should also inherit approved tools, prompts and project context without rebuilding an experienced colleague's setup.
Light and heavy users should not cost the same, so look at pooled credits, metered use, routing to a cheaper model, and workspace plans holding several people. Price the shortlist at your headcount and at twenty, because a plan that fits now can be the largest software line after a hiring quarter.
The multi-model workspaces a team of this size is most likely to weigh up, on the same criteria and to one standard. Where a vendor does not document something, the cell says so.
This table compares multi-model team workspaces with each other. The single-vendor plans a workspace replaces are priced further down, under 'Priced per seat', and are not rows here. Pricing is the lowest-priced paid plan that covers five users, at the monthly rate, so a product whose entry plan holds fewer than five people is shown on the plan that holds them. Each cell cites the page that documents that cell rather than one pricing page per row. Figures checked August 2026 against each provider's own pages, and cells marked 'Manual test required' could not be confirmed from public documentation.
The same products on the criteria that decide daily use: what each one does besides chat, what it connects to, what an admin can see and cap, and where your data goes.
These criteria decide daily use more than the model list does, and vendors document them very unevenly. 'Not publicly documented' means the official sources checked did not state it, and it does not mean the feature is absent, so read those cells as questions to put to the vendor. Checked August 2026.
The published per-seat price of each major single-vendor team plan, billed monthly. Multiply by the people who need each one, then again by every hire this year.
Buying all four for one person came to about $101 a month at July 2026 list prices, which is roughly $505 for five people and $2,020 for twenty. Read that as one example stack rather than a going rate, because a team can assemble a cheaper mix and the four plans do not buy the same amount of use. A productivity suite is a different case, since its fee also buys email, storage and documents, so only the AI part belongs in the comparison. Figures checked July 2026, and the estimator further down runs the same comparison on your own numbers.
The first two set the size of the invoice and the last two decide whether anyone notices it moving before the month ends.
Six realistic stacks, from one shared workspace to a build of your own. The workspace options come first because they are what this guide is about.
Several providers sit behind one interface with one invoice and one access list. Pricing shapes vary a lot. WorkLLM and Langdock sell seats, TeamAI and Aymo sell workspace plans with member caps, and TypingMind charges for the workspace while the model calls go on your own provider bill6, 13, 17, 21, 25.
Best for: Teams of five to twenty with two or more providers in use.
Strengths
Trade-offs
The same setup plus stored context the team can retrieve, which matters when projects run for weeks and work changes hands. The mechanism is retrieval, so stored material is selected and put into a later request rather than being remembered by the model.
Best for: Teams with projects that run for weeks and change hands.
Strengths
Trade-offs
Everyone uses a single vendor and nothing else. Five people on ChatGPT Business come to about $125 a month, Claude Team has a five-member minimum, and Grok Business is $30 a seat1, 2, 4.
Best for: Teams whose work sits inside one model family.
Strengths
Trade-offs
Keep the native features of each provider and pay for all of them. As an example, the four plans priced above came to about $101 per person a month at July 2026 list prices, so five people cost roughly $505 and twenty cost $2,0201, 2, 3, 4.
Best for: Teams that genuinely depend on several vendors' own tools.
Strengths
Trade-offs
Everyone picks their own product and the company reimburses it. Collaboration stays informal, and business context stays inside individual accounts along with the billing and the data terms.
Best for: One or two people whose work does not overlap.
Strengths
Trade-offs
Engineers combine model APIs, internal data and precise permissions into an interface of your own. The comparison is not tokens against seats, because it is tokens plus the cost of running a dependable internal product.
Best for: Technical teams with unusual workflows or strict infrastructure rules.
Strengths
Trade-offs
A client proposal with the brief and the approved terms set once, so the person who finishes it never asks the person who started what was already considered.
A person checks the citations before anything is saved and sends unsupported claims back to the evidence stage, so corrections land in the project instructions rather than in a private comment. The proposal, its sources and the decisions behind it then stay in the project, and the next teammate opens it instead of booking a briefing call.
A team this size has no librarian, so the useful question is how much upkeep each shape of memory demands and who is expected to do it.
A context window is how much text fits into one request, and it ends with the conversation. Chat history is a record of earlier chats that nobody reads automatically. Memory is stored information retrieved into later requests, and it is the only shape that reaches a colleague or a new project.
Some keep history alone. Some retrieve from documents somebody uploaded, which is predictable and needs an owner to keep it current. Some learn automatically and keep it to one account. Only the last shape, stored where the project or the team reaches it, survives a handoff.
Ask whether stored context is a project fact or a personal preference, whether saving is automatic or deliberate, and who can read the result. A small team usually wants the project boundary rather than a company-wide store, because client and internal work sit side by side on the same laptops.
Somebody has to inspect and correct stored context, and in a company this size that person also has another job. Check that an entry can be edited or deleted in a few clicks, that a sensitive session can be kept out entirely, and that a project outlives the person who set it up.
A vendor-neutral plan sized for a company without an AI administrator. It takes about two weeks and one person to run.
Record each product and plan, the monthly or annual commitment, assigned against active users, and the renewal date. Note the main workflows on each provider, the native features that cannot be replaced, the company data already connected, and who owns offboarding. Do not cancel a service just because its chat can be reproduced elsewhere.
Use recurring work with visible inputs and outputs, such as weekly market research, a client proposal, support-ticket synthesis, spreadsheet analysis into a report, or a specification review. Include at least one workflow that two people share and one that changes model partway through.
Give the pilot group the same source material and the same acceptance criteria, across at least two model families and one shared project with real permissions. Set a budget or a hard cap before the first day, so the pilot also tells you whether the cap works when it is reached.
Track time to a useful first answer, manual edits, repeated context explanations, repeated uploads and active usage per person. Then price the shortlist at your headcount, at five more people and at twenty, because per-seat and usage plans cross over somewhere between those points.
Confirm what an admin can see by person, model and period, whether spending can be stopped before an overage, and whether expensive models can be restricted. Then read the training and retention terms for the exact plan you would buy, and test what happens to a project when somebody leaves.
A team of five to twenty should buy one governed place for the routine work, more than one model family, shared project context and controls that act before the invoice. A single-vendor plan is still the simplest purchase when nearly all the work fits one provider and nothing passes between people. Separate personal subscriptions are reasonable below about five regular users, and they stop being reasonable the moment two people share a client.
Four limits apply. Plans with similar names carry different usage, analytics and permissions, so they cannot be compared by name. Shared history is not shared memory, and only some products document the second. A regulated team may need dedicated deployment and contractual residency that no self-serve plan offers. And prices and plan caps move faster than any comparison page.
So the decision is about the whole working setup rather than the model list, and about the size the team will be next year rather than the size it is now. Price the shortlist at both, run three real workflows through it for two weeks, and set the spending cap on day one so you find out whether it works.
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