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Open WebUI vs LibreChat (2026) Which Is Better? If you're exploring self‑hosted chat UIs for large language models (LLMs), this video dives into how Open WebUI and LibreChat compare — from setup and ease of use to features, customization, and deployment. Whether you're a solo AI enthusiast or part of a team managing models and workflows, this review helps you pick the right interface for your needs in 2025. In this video you will learn: How Open WebUI simplifies deployment, user experience, and local model integration How LibreChat offers advanced model support, enterprise features, and customization Differences in setup, learning curve, offline vs online workflows, and team‑use friendliness Trade‑offs between minimalist workflows vs rich feature sets Which tool to pick in 2025 based on your project size, team, hardware and workflow What makes Open WebUI stand out? Open WebUI is praised for its clean interface, rapid setup (often via Docker), strong local model support (especially via Ollama), and intuitive chat experience with minimal friction. What are the limitations of Open WebUI? It may have fewer enterprise‑grade features (like advanced user roles, deep customization) and some users report licensing updates may complicate certain use cases. What makes LibreChat strong? LibreChat shines with broad multi‑model support, robust user & role management, plugin/extensibility options, retrieval‑augmented generation (RAG) integration, and suitability for team or enterprise deployments. What are the trade‑offs with LibreChat? It tends to require more initial configuration, can feel heavier for simple use cases, and setup/maintenance may demand more resources or expertise. Which should you pick in 2025? If you want a fast, user‑friendly interface, minimal setup, and mostly solo or small team usage: go with Open WebUI. If you will be managing many users, models, custom pipelines, team workflows or enterprise‑grade features: choose LibreChat.