CompareOpen WebUI

Fig vs. Open WebUI

Run your own AI stack, or use one that's already running.

Open WebUI is the freedom play: a self-hosted, model-agnostic chat interface with 151K GitHub stars, installable in a minute. Fig agrees on model freedom and disagrees on who should run the servers — it's a managed platform with company context, Slack, and agents built in, billed for usage rather than for the engineers it takes to keep a deployment patched.

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Fig vs. Open WebUI, in short

Open WebUI is free, self-hosted, model-agnostic software you install and operate; Fig is a managed, model-agnostic platform you sign into. Open WebUI ships strong identity features free and runs fully offline on local models, but has no workplace connectors, no Slack or mobile surface in the core server, and leaves hosting, hardening, and CVE response to you. Fig runs in Slack and on every device, grounds answers in Enterprise Graph context that follows source permissions, and bills on usage with no seats.

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Fig vs. Open WebUI at a glance

FeatureFigOpen WebUI
Getting started
Self-serve today. No seat minimum, no sales cycle to begin.
One Docker command — then you host, secure, and upgrade it.
Pricing model
Usage only. No seats; unlimited members; one shared credit pool.
Free with branding; enterprise license above 50 users; plus infra and ops.
Models
Frontier models from multiple labs, routed per task.
Bring your own, including local and fully offline models.
Where it runs
Slack (in-channel), desktop, mobile, and web.
Browser, PWA, desktop app; no Slack or Teams in the core server.
Connectors & actions
Native connectors, computer use, MCP, approval gates on actions.
MCP, OpenAPI, Python tools; no workplace connector catalog.
Company context
Enterprise Graph: people, teams, projects, activity; follows source permissions.
Upload or directory-sync RAG; no source-permission inheritance.
Agents
Agent Builder, Orchestration, Governance — on the same usage pool.
Sub-agents and automations; no visual agent builder.
Admin & compliance
SSO (SAML/OIDC), SCIM 2.0, scoped roles, audit export, break-glass re-auth.
OIDC, LDAP, SCIM, RBAC free; certifications apply to your deployment.
Deployment
Managed cloud only; no on-prem or air-gapped option.
Self-hosted anywhere, including air-gapped.

Included   Partial or with conditions   Not offered

$0per seat, at any team size
Unlimitedmembers on one shared usage pool
Every labfrontier models, routed per task
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Pricing: Fig vs. Open WebUI

Fig

No seats, no license, no servers. Team members are free to add, and usage is billed from your team's shared credit pool — you only pay for what the team actually consumes.

See how usage pricing works →

Open WebUI

The software is free if you keep the branding. Above 50 users, removing it needs an enterprise license that isn't priced publicly. The real bill is elsewhere: GPUs or API keys, hosting, backups, security review, and the engineers who upgrade it — Open WebUI shipped four minor releases in the two months to August 2026.

These are different kinds of bills. Open WebUI's is mostly headcount and infrastructure; Fig's is usage. Which is cheaper depends on whether you already have a platform team with time to spare.

Fig vs. Open WebUI in detail

Free software, not free operation

Open WebUI's install is genuinely a one-liner, and that's where the easy part ends. Tools and Functions "run arbitrary Python code on your server with the same access as the Open WebUI process," audit logging is off until you wire it to a SIEM, and the project has shipped fixes for account-takeover and code-execution CVEs in the last year. That's what self-hosting an AI platform costs. Fig is the version where that work is ours: the platform is running, patched, and monitored before your team signs in.

Security & governance →

Chat over your documents vs. context about your company

Open WebUI's knowledge model is upload-and-index: drop documents or sync a folder into a RAG knowledge base, and the chat retrieves from it. It doesn't know which Slack thread decided the thing in the document, who owns the project, or what your Salesforce account looks like today — and its permissions are its own groups, not the source system's. Fig's Enterprise Graph maps the people, teams, projects, and activity behind your data, with access that follows the permissions of the systems it's connected to.

Enterprise Graph →Connectors →

Where your team actually works

Open WebUI is a web app plus a desktop client, with no Slack or Teams surface in the core server — if you want it in a chat channel, that's a separate desktop product or a webhook. Fig runs in-channel in Slack, on desktop, on mobile, and on the web, so nobody has to remember to open another tab.

Fig Assistant →Download Fig →

Which is right for you?

Choose Fig if

Teams that want model flexibility without running the stack — a managed platform with company context, Slack, and governed agents built in, priced on usage rather than on the engineers it takes to operate self-hosted software.

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Choose Open WebUI if

Organizations with a platform or infrastructure team that must run AI on their own hardware — offline, air-gapped, or on local models — want zero license cost, and are prepared to own hosting, hardening, and CVE response.

Frequently asked questions

Is Fig an alternative to Open WebUI?

For teams that want the outcome — model-agnostic AI for the whole company — without operating it, yes. Fig is a managed platform with company context, Slack, and agents included, billed on usage. If your requirement is self-hosted or air-gapped AI on local models, Open WebUI is built for that and Fig doesn't do it.

Is Open WebUI really free?

The software is free to use with its branding intact under a modified BSD-3 license (since April 2025). Removing the branding for more than 50 users requires an enterprise license that isn't priced publicly. The larger cost is operational: servers or GPUs, model or API spend, backups, security hardening, and the engineering time to upgrade and patch it.

Does Open WebUI connect to Slack, Google Drive, or Salesforce?

Not in the way a workplace AI platform does. Open WebUI ingests documents you upload or sync from a directory, supports MCP and OpenAPI tool servers you configure, and can post outbound webhooks to Slack. There's no first-party catalog of workplace connectors, no in-channel Slack assistant in the core server, and no permission inheritance from source systems. Fig ships native connectors, in-channel Slack, and Enterprise Graph context that follows source permissions.

Which is more secure?

They're secure in different hands. Open WebUI ships strong identity features free — OIDC, LDAP, SCIM 2.0, RBAC, audit logging — but carries no certifications (they apply to your deployment), runs your Python tools with the server's own privileges, and leaves CVE response to you. Fig is a managed platform with SSO via SAML or OIDC, SCIM 2.0, scoped roles, approval gates on agent actions, and an exportable audit log, where patching is our job.

Can I run local or offline models with Fig?

No. Fig is a managed cloud platform that routes across frontier models from multiple labs. If running local models offline is a requirement, Open WebUI is built for exactly that.

See Fig on your team's real work.

Create a team, connect your tools, and ask your first question in Slack today — or walk through it with us.

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