Price comparison of AI assistants for SMBs: actual monthly costs for 5, 15, and 30 users

Choosing an AI assistant for a small or medium-sized business is often unnecessarily narrowed down to one item: the price per user. But this view fails most often precisely in SMBs. What matters is not just the monthly subscription, but also usage limits, integration with company tools, user management, availability of advanced models, and whether employees will start bypassing the approved tool with other services because of restrictions.

Claude

That is why in this comparison I do not focus only on the price list, but on the total monthly costs in practice: for teams of 5, 15, and 30 users, for typical office scenarios, and with an emphasis on when a cheaper plan actually ends up costing more. I focus on four services that are realistically deployed: ChatGPT, Microsoft Copilot, Google Gemini, and Claude. For pricing, I provide indicative figures excluding VAT, usually in USD per month, because official price lists vary by region, currency, and account type.

If you first need to clarify the differences between the main tools, our overview page AI chats is also useful. For companies mainly dealing with text production and document work, the follow-up comparison in the AI for writing texts section also makes sense.

What really belongs in the TCO of an AI assistant and why the license price alone is not enough

Total cost of ownership, or TCO, for an AI assistant in SMBs typically consists of five items: licenses, additional ecosystem licenses, onboarding, losses caused by limits, and the costs of uncontrolled use of other tools. The last two items are often invisible in the budget, but in practice they are decisive.

What to do: before choosing, write down which applications people work in today. If the team spends most of the day in Microsoft 365, the difference between “USD 20 for Copilot” and “USD 20 for a tool outside the workflow” is different than for a company built on Google Workspace. It also matters to verify whether the selected plan supports centralized management and company billing.

Who it is for: for SMBs with 5 to 50 employees that do not want to buy an enterprise solution, but at the same time need at least basic control over data and users.

When not to use this: if AI is used only by the business owner or one specialist. In that case, a TCO calculation for the whole team is premature, and a pilot with 1 to 2 licenses makes more sense.

It is also appropriate to include time costs in TCO. If an employee has to rely on a second tool because of a strict message limit, the company is effectively paying in two ways: another subscription and a loss of focus from switching. In small teams this is easy to overlook, but with 15 or 30 users it becomes a regular operational problem.

Which plans make real sense for SMBs: overview of services, prices, and conditions

For the comparison, I use plans that are realistically available to smaller companies without complicated enterprise negotiations.

ChatGPT Team

OpenAI

For businesses, OpenAI mainly offers ChatGPT Team, officially priced from USD 25 per user per month with annual billing, or roughly USD 30 with monthly billing (indicative figure based on the official price list). The plan includes a shared workspace, administration, and access to advanced models and tools according to OpenAI’s current offering. Its strong side is the quality of text generation, file handling, and a broad set of functions in one interface. A weakness may be variable usage limits depending on the specific model and service load.

Official link: https://openai.com/chatgpt/team

Microsoft Copilot

For SMBs, the most important option today is Microsoft 365 Copilot, which is sold as an add-on to selected Microsoft 365 licenses. The indicative price is USD 30 per user per month. The key point is that it is not a standalone tool: the company also needs a compatible base Microsoft 365 license. The advantage is deep integration with Word, Excel, PowerPoint, Outlook, Teams, and Graph data. The disadvantage is higher total costs if the company is not already using Microsoft 365.

Official link: https://www.microsoft.com/microsoft-365/copilot/business

Google Gemini for Workspace

Google offers Gemini for Google Workspace in several business variants. For SMBs, it is important that the AI features are tied to Google Workspace and their availability differs by edition. Indicatively, you need to count on a cost in the range of USD 20 to 30 per user per month depending on the specific combination of Workspace plan and AI add-on (indicative figure; Google changes its pricing on an ongoing basis). Gemini’s strength is in Gmail, Docs, Sheets, Meet, and search across company content in the Google ecosystem.

Official link: https://workspace.google.com/gemini/

Claude Team

Anthropic offers Claude Team priced from USD 30 per user per month (indicative figure based on the official offer). Claude excels when working with long texts, summarizing extensive documents, and maintaining a more consistent response style in some analytical tasks. For SMBs, however, a limitation is often the shallower office integration compared with Microsoft or Google.

Official link: https://www.anthropic.com/team

What to do: divide candidates into two groups: “standalone chat for general work” and “AI inside the office suite.” This quickly helps you avoid false price comparisons between services that solve different needs.

Who it is for: for teams that want to standardize on one approved tool instead of having each employee use something different.

When not to use this: if the company does not yet have a stable work ecosystem and alternates between Microsoft, Google, and local tools by department. In that situation, the software stack needs to be aligned first.

Model TCO with 5 users: a small team where flexibility and speed of deployment decide

With five users, the biggest mistake is overestimating management and underestimating speed of implementation. A small team usually does not need complex governance processes, but it is very sensitive to every extra license.

Claude

Indicative monthly license costs for 5 users:

ChatGPT Team: approx. USD 125 to 150
Microsoft 365 Copilot: approx. USD 150 + required Microsoft 365 licenses
Google Gemini for Workspace: approx. USD 100 to 150 + Google Workspace licenses
Claude Team: approx. USD 150

At this team size, the most cost-effective tool is usually the one that does not require additional process changes. If the company already runs on Google Workspace, it makes sense to try Gemini. If the core of the work is in Outlook, Excel, and Teams, Copilot often justifies the higher price by reducing friction in daily work. For an agency, consultants, or a small sales team without strong dependence on one office suite, ChatGPT Team or Claude Team may be the most practical choice.

Practical scenario: five people in a marketing studio prepare offers, research, article outlines, and emails. If they currently work mainly in Google Docs and Gmail, Gemini can save time directly in the tools they already know. But if they also often analyze longer client materials and need a high-quality universal chat, ChatGPT Team or Claude Team will usually offer a better balance between flexibility and price.

What to do: with five users, launch a four-week pilot and measure only three indicators: number of active users per week, time saved on recurring tasks, and number of situations where an employee hit a limit or reached for another tool.

Who it is for: for small agencies, accounting firms, sales teams, and internal back offices with a high share of text-based work.

When not to use this: if most work takes place in industry systems such as ERP, CAD, or specialized service applications, where office AI integration does not bring a major effect.

Model TCO with 15 users: the point where management, limits, and different team roles start to hurt

Fifteen users is a turning-point size for SMBs. It is no longer just about whether the tool works for an individual, but whether it can handle the daily operation of different roles: sales, administration, marketing, management, and often customer support as well.

Claude

Indicative monthly license costs for 15 users:

ChatGPT Team: approx. USD 375 to 450
Microsoft 365 Copilot: approx. USD 450 + Microsoft 365 licenses
Google Gemini for Workspace: approx. USD 300 to 450 + Google Workspace licenses
Claude Team: approx. USD 450

This is exactly where the importance of additional costs becomes clear. If the company has to unify Microsoft 365 licenses across the team first because of Copilot, that raises the budget more significantly than the AI add-on itself. On the other hand, implementation is usually simpler with ChatGPT Team or Claude Team, but the company must count on part of the work remaining outside the main work tools.

Practical scenario: a 15-person company has 6 salespeople, 4 people in administration, 3 marketers, and 2 managers. Sales and administration sit in Outlook and Excel, while marketing uses Google Docs and Figma. In such an environment, a blanket purchase of one expensive license for everyone often does not work out best. A combination is usually more effective: Copilot for roles strongly tied to Microsoft 365 and a standalone chat only for selected creative or analytical positions. But if you want one unified tool for the whole team and low management overhead, ChatGPT Team is usually the more feasible option.

What to do: divide users into three groups by intensity of use: daily, weekly, occasional. For daily users, track whether the AI works directly in their primary application. If not, the value of the license drops quickly.

Who it is for: for companies that already have separated roles and need to decide whether to buy AI across the board or only for part of the team.

When not to use this: if you are only just introducing basic rules for working with company data. In a company without clear access rights and without internal policies for uploading documents into AI tools, governance is a more urgent problem than license price.

Model TCO with 30 users: why hidden costs become more important than a USD 5 to 10 difference per license

With thirty users, the difference between USD 25 and 30 per license is no longer the main decision factor. More important is how many employees actually use the tool, whether productivity is being lost because of limits, and how complex management is.

Indicative monthly license costs for 30 users:

ChatGPT Team: approx. USD 750 to 900
Microsoft 365 Copilot: approx. USD 900 + Microsoft 365 licenses
Google Gemini for Workspace: approx. USD 600 to 900 + Google Workspace licenses
Claude Team: approx. USD 900

At this size, it pays for the company to address internal usage standards as well. If 30 people get a license but only 10 of them use it in a clearly defined process, the real cost per active user is triple. Conversely, a well-chosen tool with a lower “resistance frequency” can be cheaper even at a higher list price, because people actually use it.

Practical scenario: a 30-person service company uses Microsoft 365 across the organization. Sales needs work with emails and meetings, management needs presentations and summaries, finance needs Excel. In such a case, Copilot has a better chance of justifying its price than in a smaller creative agency, because it touches more key tasks inside existing tools. By contrast, a company with a hybrid stack and weak document discipline will probably make better use of a standalone chat that can be deployed faster and without a more complicated licensing chain.

What to do: with 30 users, introduce a monthly review of license usage. Track activity by department and after 60 to 90 days, ruthlessly remove licenses from people who do not use the tool at least several times a week.

Who it is for: for stable SMBs with recurring office processes and clearly defined roles.

When not to use this: if the company is growing quickly, changing processes, and at the same time alternating between different sets of office tools. At that stage, premature standardization is often more expensive than a limited pilot.

Plan limits that most often distort the budget: messages, models, context, and integrations

The biggest mistake in price comparisons is the assumption that every user gets unlimited performance. They do not. Limits take different forms, and their impact varies by type of work.

1. Message limits and service load

With standalone chat services, limits may change depending on the model used and the current platform load. That means “I have a paid plan” does not mean “I can use the most powerful model all day without restrictions.” For intensive users in analytical roles, this matters more than for occasional users.

2. Restrictions by model type

Some features or the best models may not be equally available across plans, regions, or interfaces. For SMBs, it makes sense to verify whether the plan actually includes the model the company wants to use for more complex tasks, not just basic chat.

3. Context window and document work

For legal, analytical, or consulting teams, it is crucial how much text the model can process at once and how well it handles files. Claude has long been strong in this area, ChatGPT offers very universal file handling, while Copilot and Gemini score where the document remains inside their office ecosystem.

4. Integrations and access to company data

Copilot and Gemini make the most sense where the company already lives in Microsoft or Google. But if the data is located elsewhere, the value of integration declines. By contrast, a standalone chat may be more universal, but it brings more manual work with copying and uploading files.

What to do: before buying, prepare ten real tasks from practice and test them on trial accounts. Do not ask which tool is “the smartest,” but which one can handle your specific documents, spreadsheets, emails, and meetings without working around limits.

Who it is for: for companies that want to decide based on operational impact, not marketing slogans.

When not to use this: if you have not yet selected specific use cases. Testing without predefined tasks ends in impressions, not a decision.

When a more expensive plan is actually cheaper: decision rules by team type

A higher price per user makes sense when the tool fits into the main workflow. In SMBs, the decision can be simplified with a few rules.

Choose Microsoft 365 Copilot if most work takes place in Word, Excel, Outlook, PowerPoint, and Teams, and the company already pays for compatible Microsoft 365 licenses.
Choose Gemini for Workspace if the team lives in Gmail, Docs, Sheets, Meet, and does not want to introduce another standalone interface.
Choose ChatGPT Team if you need a universal tool for writing, summarizing, file work, brainstorming, and ad hoc analytical tasks across roles.
Choose Claude Team if the team often works with long materials, internal guidelines, contracts, or extensive research, and depends less on office integrations.

What to do: when choosing, ask where the most recurring work arises. If it is in the inbox and calendar, an integrated assistant has the advantage. If it is in preparing texts, research, and working with materials from different sources, a universal chat often wins.

Who it is for: for business owners and operations managers who need a quick and understandable purchasing rule.

When not to use this: if the company expects one tool to deliver top performance in all scenarios. In practice, you almost always choose a compromise between integration, model quality, and price.

Practical deployment scenarios in SMBs: marketing, sales, administration, and company management

Marketing team

Marketing values fast generation of outlines, text variants, summaries of materials, and campaign work the most. If the team uses multiple sources and often switches between the brief, materials, and final text, ChatGPT Team usually works well. But if everything is created in Google Docs, it makes sense to test Gemini.

Sales team

Sales mainly needs emails, meeting preparation, note summaries, and calendar work. Here Microsoft Copilot has a strong position if sales works in Outlook and Teams. The added value appears only when responses and suggestions are created directly on top of company context.

Administration and back office

Back office handles recurring communication, notes, transcriptions, attachment summarization, and work with templates. For these roles, ease of use and stable output are key. Not every employee needs the most powerful model; it is more important that the tool does not slow them down or create extra steps.

Management

Company leadership benefits from report summaries, presentation drafts, note processing, and quick preparation of materials. Here, the tool that is best integrated into already used documents and presentations often wins, even if it is not the cheapest.

What to do: do not buy the same plan across the board regardless of role. First identify 2 to 3 scenarios with the highest frequency in each department, and only then choose the tool accordingly.

Who it is for: for SMBs that want to deploy AI by department and not as a one-off experiment.

When not to use this: if the company cannot define recurring tasks. Without them, ROI is hard to measure and licenses quickly end up unused.

FAQ: most common questions about AI assistant pricing for SMBs

Is it enough to compare the price per user?

No. In SMBs, what often matters more is whether the price includes management, a company workspace, access to more advanced models, and especially integration into the tools the team uses every day.

Is the cheapest option automatically the best for a small business?

No. A cheaper standalone chat may be a worse choice than a more expensive integrated assistant if employees work mainly in Microsoft 365 or Google Workspace and need AI directly inside those applications.

Is it worth buying licenses for all employees?

Not always. With 15 and 30 users, it is often more effective to divide the team by intensity of use. Some roles will use AI daily, others only occasionally. Blanket purchasing often increases costs without a corresponding benefit.

How long should a pilot last?

Practically 4 to 6 weeks. A shorter test usually does not capture normal operations, while a longer test without clear metrics loses momentum. Track activity, time savings, and the number of cases where the tool failed because of limits or weak integration.

Which tool has the best price/performance ratio?

Without company context, there is no universal answer. For Microsoft-centric teams, Copilot often works well; for Google-centric teams, Gemini; for universal text and analytical work, ChatGPT Team; and for long documents, Claude Team.

Conclusion: how to choose an AI assistant by real costs, not by the price list

For SMBs, the key is not to find the “cheapest AI,” but the tool with the lowest real monthly costs in actual use. With five users, speed of deployment and low friction matter most. With fifteen users, role segmentation and governance start to become important. With thirty users, management, adoption, and elimination of unused licenses are usually more critical than the difference of a few dollars per user.

If you want one brief rule: choose according to the main work environment and the frequency of recurring tasks. ChatGPT Team and Claude Team make sense where you need a universal assistant across scenarios. Microsoft Copilot and Google Gemini work best where AI stays directly inside the office ecosystem and saves clicks as well as switching between tools.

So do not close the decision after reading the price list. Run a short pilot, measure usage by role, and count the hidden costs caused by limits and by bypassing the official tool. That is exactly where real ROI breaks for SMBs.

Recommended AI stack for implementation

Choose tools according to your budget and level of automation. Below is a direct overview of services for project implementation.

Service	Service description	Offer
NordVPN	VPN service for privacy protection and secure connections.	Open offer
Semrush	SEO and marketing platform for analysis and traffic growth.	Open offer
Make	Advanced visual automation for workflows and integrations.	Open offer
Hostinger	Web hosting and domains for fast website launch.	Open offer
Fiverr	Marketplace for freelancers and external specialists.	Open offer
Adobe	Creative tools for graphics, video, and digital content.	Open offer
Canva	Online design tool for graphics, presentations, and social media.	Open offer
Jasper	AI tool for marketing copy and content campaigns.	Open offer