What is open-webui?
Self-hosted AI platform for running AI on your own terms. Connect any model (local or cloud), extend with Python, and maintain complete data ownership and control.
open-webui pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Free open-source. Enterprise options available.
Open Source
FreeSelf-hosted deployment. Install with pip or Docker in 60 seconds.
- Full AI stack
- Connect any model
- Voice, vision, retrieval, generation, search
- Python extensions
- Community models and tools
- RAG and retrieval capabilities
Enterprise
Contact salesEnterprise-grade deployment for regulated industries
- SSO
- RBAC
- Audit logs
- Data residency controls
- On-premises deployment
- Air-gapped deployment
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- On-premise
- Air-gapped
- Self-hosted
Integrations (3)
Independently observed- Ollama
- OpenAI
- Anthropic
open-webui FAQ
Common questions about open-webui, answered from independent, dated evidence.
What is Open-webui and what does it do?
Open-webui is a self-hosted AI platform that connects to various language models—whether running locally or hosted in the cloud—through a unified interface. It emphasizes data ownership, allowing you to run AI workloads on your own infrastructure rather than relying on external services.
Source: https://openwebui.com
How much does Open-webui cost?
The open-source version is free to use and self-host. An enterprise tier is available for organizations in regulated industries that require advanced features like single sign-on and audit logging; pricing for this tier is available through sales.
Source: https://openwebui.com
Which AI models can I connect to Open-webui?
Open-webui supports multiple model providers including Ollama for local models, OpenAI, and Anthropic. This allows you to choose local or cloud-based models depending on your requirements and privacy needs.
Source: https://openwebui.com
How can I deploy Open-webui?
Open-webui supports multiple deployment options including self-hosted on your own servers, on-premises, air-gapped (offline), and hybrid setups. Installation takes approximately 60 seconds using either pip or Docker.
Source: https://openwebui.com
What are the main capabilities of Open-webui?
The platform includes voice and vision support, text generation, retrieval-augmented generation (RAG), and search capabilities. You can extend functionality using Python and access community-contributed models and tools.
Source: https://openwebui.com
Is Open-webui suitable for regulated or enterprise environments?
The open-source version works for general deployments, but an enterprise tier is available for regulated industries, offering role-based access controls, single sign-on, audit logs, data residency controls, and air-gapped deployment options.
Source: https://openwebui.com
Can I maintain complete control over my data with Open-webui?
Yes, since Open-webui is self-hosted and runs on your own infrastructure, you maintain full ownership and control over your data rather than storing it with a third-party service.
Source: https://openwebui.com
What interfaces does Open-webui provide?
Open-webui offers both web and command-line interfaces, allowing you to interact with your AI models through your preferred method.
Source: https://openwebui.com
open-webui alternatives
Other ai tools we track, ranked by the same independent score.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for open-webui, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Pricing Transparency | 80 | 0.09 | 7.5 | ✓ |
| Github Activity | 63 | 0.10 | 6.6 | ✓ |
| Price Level | 100 | 0.06 | 5.8 | ✓ |
| Release Cadence | 99 | 0.06 | 5.8 | ✓ |
| Github Stars | 98 | 0.03 | 2.8 | ✓ |
| Integrations | 17 | 0.10 | 1.8 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
| Capabilities | 0 | 0.19 | 0.0 | - |
| Security Posture | 5 | 0.07 | 0.0 | - |
| Package Downloads | 0 | 0.15 | 0.0 | - |
| Stackoverflow Activity | 0 | 0.07 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 100 | mediumsource · 2026-07-31 · 65% |
Adoption
| Attribute | Value | Evidence |
|---|---|---|
| Github stars | 147,416 | highsource · 2026-07-31 · 90% |
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | [{"answer":"Open-webui is a self-hosted AI platform that connects to various language models—whether running locally or hosted in the cloud—through a unified interface. It emphasizes data ownership, allowing you to run AI workloads on your own infrastructure rather than relying on external services.","source":"https://openwebui.com","question":"What is Open-webui and what does it do?","confidence":0.95},{"answer":"The open-source version is free to use and self-host. An enterprise tier is available for organizations in regulated industries that require advanced features like single sign-on and audit logging; pricing for this tier is available through sales.","source":"https://openwebui.com","question":"How much does Open-webui cost?","confidence":0.95},{"answer":"Open-webui supports multiple model providers including Ollama for local models, OpenAI, and Anthropic. This allows you to choose local or cloud-based models depending on your requirements and privacy needs.","source":"https://openwebui.com","question":"Which AI models can I connect to Open-webui?","confidence":0.8},{"answer":"Open-webui supports multiple deployment options including self-hosted on your own servers, on-premises, air-gapped (offline), and hybrid setups. Installation takes approximately 60 seconds using either pip or Docker.","source":"https://openwebui.com","question":"How can I deploy Open-webui?","confidence":0.95},{"answer":"The platform includes voice and vision support, text generation, retrieval-augmented generation (RAG), and search capabilities. You can extend functionality using Python and access community-contributed models and tools.","source":"https://openwebui.com","question":"What are the main capabilities of Open-webui?","confidence":0.9},{"answer":"The open-source version works for general deployments, but an enterprise tier is available for regulated industries, offering role-based access controls, single sign-on, audit logs, data residency controls, and air-gapped deployment options.","source":"https://openwebui.com","question":"Is Open-webui suitable for regulated or enterprise environments?","confidence":0.95},{"answer":"Yes, since Open-webui is self-hosted and runs on your own infrastructure, you maintain full ownership and control over your data rather than storing it with a third-party service.","source":"https://openwebui.com","question":"Can I maintain complete control over my data with Open-webui?","confidence":0.95},{"answer":"Open-webui offers both web and command-line interfaces, allowing you to interact with your AI models through your preferred method.","source":"https://openwebui.com","question":"What interfaces does Open-webui provide?","confidence":0.95}] | highsource · 2026-07-31 · 93% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 3 | mediumsource · 2026-08-05 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-07-31 · 90% |
Pricing
Release
| Attribute | Value | Evidence |
|---|---|---|
| Cadence days | 1 | mediumsource · 2026-07-31 · 70% |
Security
| Attribute | Value | Evidence |
|---|---|---|
| Disclosure policy | Yes | mediumsource · 2026-08-05 · 60% |