Open-WebUI vs text-generation-webui
| Tagline | Feature-rich self-hosted chat UI for Ollama and OpenAI-compatible APIs | Feature-rich web UI for running large language models locally with multiple backends |
| Category | AI & LLM Tools | AI & LLM Tools |
| Replaces | ChatGPT, OpenAI API | ChatGPT, OpenAI API |
| GitHub stars | 143k | 41k |
| Language | Docker | Python |
| License | BSD-3-Clause | AGPL-3.0 |
| Self-host difficulty | 2/5 Easy | 2/5 Easy |
| Deploy options | Docker Docker Compose | Docker Manual |
| Managed hosting | ||
| Last updated | 8 days ago | 1 month ago |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Open-WebUI
- Advanced reasoning models and GPT-4o-level capabilities depend entirely on the underlying model quality
- No native mobile app; browser-only experience
- Enterprise SSO/SAML and audit logging require additional configuration
- Plugin/tool ecosystem is smaller and less mature than ChatGPT's GPT store
text-generation-webui
- No built-in team/multi-user auth; single-user by default
- Model management UI is less polished than commercial offerings
- No native document RAG pipeline (requires extensions)
Bottom line
Both are a similar lift to self-host; choose Open-WebUI for the larger community and ecosystem. Open-WebUI has seen more recent development. Open each guide below for deploy steps and the full feature gap.
text-generation-webui
Feature-rich web UI for running large language models locally with multiple backends