Open WebUI for Teams: Use GPT, Claude and Open Models Privately Without Per-Seat Licenses

AI chat tools are now part of daily work. People draft emails, summarize documents and check ideas with them. The trouble starts when the whole team wants access. Team and enterprise plans from the big AI vendors usually charge for every seat, and the bill grows with headcount, even for people who use the tool a few times a month. If you are searching for a ChatGPT Team alternative (OpenAI now calls that plan ChatGPT Business), you are probably feeling that pain.

One option is a single private chat workspace that your business owns, connected to the models you choose through their APIs. That is what Open WebUI does. This guide explains the model, when it saves money, when it does not, what admins can control and what managed hosting by Octane Software takes off your plate.

The per-seat cost problem and why a shared workspace appeals

Most team AI subscriptions follow one pattern: a fixed charge per user, per billing period. ChatGPT Business (formerly ChatGPT Team) and Enterprise, and Claude Team and Enterprise plans, are sold on a per-seat basis. For current terms, always check the vendors' own pages: ChatGPT plans and Claude plans.

Per-seat pricing has a simple logic. The vendor gets predictable revenue, and you get a predictable bill. The weakness shows up in a typical small business:

• Uneven use. A few people use AI all day. Many use it now and then. Everyone costs the same.
• Growth tax. Each new hire adds a seat, whether or not they use it.
• One vendor per subscription. If half your team prefers GPT and the other half prefers Claude, you may end up paying for two sets of seats.
• Seat counting. Someone has to track who has a seat, who left and who is waiting for one.

None of this means per-seat plans are bad. For a team where everyone uses AI heavily, they can be a good deal. But the model has a built-in mismatch when usage is uneven.

How usage-based API pricing is different

Model providers also sell access through APIs. API pricing is usage-based: you pay for the amount of text you send to the model and the amount it sends back, measured in units called tokens. Prices differ by model, and larger, more capable models cost more per token than smaller ones. See the official pages for current rates: OpenAI API pricing and Anthropic pricing.

The key idea is that nobody pays for a seat. A person who asks three short questions a month costs almost nothing. A person who pastes in long documents all day costs more. Your total bill follows real activity.

A tool like Open WebUI sits in front of those APIs. Your team uses one chat screen, and behind it, your business account with each provider pays for the usage.

When usage-based is cheaper, and when it is not

Usage-based pricing is not always the winner. Here is a fair way to think about it.

Situation	Likely better fit
Many occasional users, a few moderate ones	Usage-based API access
Team that grows often, with uneven use	Usage-based API access
Team that wants several vendors' models in one place	Usage-based API access
Everyone uses AI heavily every day with long inputs	Compare carefully, per-seat may win
You need a vendor's own apps, plugins or built-in features	Per-seat vendor plan
You want a fixed, capped monthly bill with no variation	Per-seat vendor plan

Two points matter most.

Heavy users can cost more on usage-based pricing. If one person runs very long conversations with a top model for hours each day, token costs add up. A flat seat may be cheaper for that person. Many teams find a mix works well: heavy users get what they need, and everyone else uses the shared workspace.

Vendor apps include more than a model. Per-seat plans bundle the vendor's own interface and features, which may include things such as file tools, voice or integrations. A chat workspace built on APIs has its own set of features, which may differ. Decide what your team actually uses.

The honest way to decide is to measure. Ask a handful of people how often they use AI, then start with a small group and watch the real usage numbers for a month before you roll out to everyone.

One workspace for GPT, Claude and open models

Open WebUI is a chat interface you host yourself. It is free to self-host under its own license, which is source-available and not OSI-approved (since version 0.6.6 the license includes a branding clause). Read the terms on the Open WebUI license page. Its documentation describes connections to several kinds of providers from a single screen.

• OpenAI models. Add your OpenAI API key under the admin connection settings.
• Open models through an OpenAI-compatible API. Many providers that host open models offer an OpenAI-compatible API, and Open WebUI can connect to them. The docs name providers such as Mistral, Groq and DeepSeek as examples.
• Anthropic Claude models. Open WebUI documents a connection to Anthropic using Anthropic's OpenAI-compatible endpoint. Anthropic describes that compatibility layer as intended for evaluation and testing, and recommends its native API, for example through a pipe function or proxy, when you need full Claude features such as PDF processing, citations or extended thinking. Ask Octane Software which approach fits your needs.
• Local models. If you want to run models on your own hardware, Open WebUI also supports tools such as Ollama. Most small businesses start with hosted APIs.

Users pick a model from a list, and the docs describe being able to switch models during a conversation. That helps in practice: one person can try the same question on two models and compare the answers.

You bring your own API keys. That means your business has an account with each provider, and you control which providers you turn on.

What admins can control

A shared AI tool needs some order. Open WebUI's documentation describes admin features that matter to a business:

• Users, roles and groups. Role-based access control with groups lets you organize people, for example Sales, Support and Finance. Larger setups can connect to a sign-in system (the docs list SSO, OIDC and LDAP options).
• Model access control. You can restrict models to specific users or groups. Maybe everyone gets a smaller, cheaper model, and a smaller group gets the most capable one.
• Shared prompts. Prompts can be saved as reusable templates that people call up with a short command, so your best wording is shared with the team instead of kept in one person's notes.
• Knowledge bases. You can upload documents so the assistant can use them when it answers, which helps for things like internal procedures or product information.
• Usage visibility. The docs list usage analytics and token consumption tracking, which helps you see who uses what and keep costs in check.

Which of these features you use depends on the size of your team. A five-person office may need only a shared prompt list. A fifty-person company will care more about groups and model access.

Privacy: what stays with you and what does not

Privacy is a main reason teams look at this option, so be exact about what it does and does not mean.

What stays on your own instance. Your Open WebUI runs on infrastructure that serves your business. Conversations, saved prompts, uploaded knowledge documents and user accounts are stored there, not in a vendor's consumer chat product.

What leaves your instance. When someone sends a message, the text goes to the model provider you chose, through its API, so the model can answer. That provider's data policy then applies. Policies differ between providers, and they differ between API access and consumer or team subscriptions. They cover things like how long data is kept and whether it may be used to improve models.

A few practical rules help any team:

• Decide which kinds of data may go to which models, and put it in writing.
• Keep the most sensitive material out of the chat altogether if your policy requires it.
• Limit admin access and review the user list when people leave.
• Remember that private hosting is not the same as private model processing. The model provider still sees the prompt.

What managed hosting by Octane Software handles

Open WebUI is software, and it must run somewhere, stay updated and be backed up. With the managed app service from BetterMade Hosting, you get:

• Hosting. Open WebUI runs on BetterMade infrastructure, with SSL on your own domain, so your team opens it at your own address.
• Setup. Octane Software installs and configures it and creates your first admin login.
• Updates. New Open WebUI versions are applied for you.
• Backups and monitoring. Your instance is backed up and watched for downtime.

What stays with you: inviting your team, choosing which models to connect, creating the API accounts and keys with each provider, and setting your own rules for use. Your provider usage is billed by those providers, separately from the managed service.

A simple rollout plan

1. Pick a pilot group. Five to ten people from different roles is enough.
2. Choose one or two models. Start small. You can add more later.
3. Create provider accounts and set spending limits. Most providers let you set budgets or alerts on API usage. Check their dashboards.
4. Write a one-page usage rule. What is allowed, what is not and who to ask.
5. Add shared prompts. Seed the workspace with five prompts that fit your actual work.
6. Review usage after a month. Compare it with what per-seat plans would have cost for the same group, using the vendors' current pricing.
7. Roll out wider. Add groups and model access rules as the team grows.

Frequently asked questions

Is Open WebUI really an alternative to ChatGPT Business?

For the core job of giving a team a shared chat workspace, yes. It is a different product with its own feature set, so it will not match every vendor-specific feature. It works well when you want one place for several models and usage-based costs.

Can my team use Claude models in Open WebUI?

Open WebUI's documentation describes connecting to Anthropic through Anthropic's OpenAI-compatible endpoint, with a caveat from Anthropic about production use and full Claude features. Octane Software can advise on the best way to connect for your needs.

Who pays for the AI models?

Your business pays each model provider directly for API usage, based on the usage-based pricing of that provider. The managed hosting service is separate.

Are our conversations private?

Conversations are stored on your own Open WebUI instance. Messages are still sent to the model provider you select, and that provider's data policy applies. Review those policies before you connect a provider.

Do I need a technical person to run it?

No. On a managed plan the app is installed, updated, backed up and monitored for you. You choose the models, invite your team and set your rules.

How much does managed Open WebUI cost?

See the app page for current pricing, or book a call with Octane Software. The Open WebUI app page has the details.

Next step

If a shared, usage-based AI workspace sounds right, start on the Open WebUI app page. Octane Software sets it up and maintains it, and you can book a discovery call from that page. You can also call us on (480) 624-2500 with questions. For more apps that run on your own domain, see the managed apps list.