LibreChat vs Open WebUI: pricing, features and which to choose

LibreChat is a free, open-source chat platform maintained by the LibreChat community and distributed under the MIT license. Its GitHub repository was created on February 12, 2023. The project page reports 46.1 thousand GitHub stars and 58.5 million Docker pulls in October 2026, while the repository lists 9,457 forks and the MIT license. LibreChat targets developers, teams, and enterprises that want to run an AI interface on their own infrastructure. The license permits use, modification, distribution, sublicensing, and sale, provided the notice is retained, and the software is provided without warranty. LibreChat does not include model inference, hosting, or provider credits. Connected services can still process prompts, files, and tool requests under their own terms, so users seeking self-hosting and provider flexibility should pick LibreChat.

A typical deployment runs LibreChat with Docker, configures provider credentials or OpenAI-compatible endpoints, and gives users a browser workspace. Users can switch models, upload files, search conversations, create agents, call MCP tools, run code in a sandbox, and use RAG for indexed documents. Authentication supports email and OAuth, with LDAP, SAML, two-factor controls, roles, groups, moderation, and spend controls described for multi-user installations. The interface can connect to OpenAI, Anthropic, Google, Azure, AWS Bedrock, OpenRouter, Ollama, Groq, Mistral, Cohere, and other local or remote services. These connections route requests through configured endpoints, but they do not provide a LibreChat model API subscription or included model allowance. Pick LibreChat if you need a self-hosted shared workspace with multiple providers, agents, tools, files, and user permissions.

LibreChat’s flexibility brings deployment work, credential management, upgrades, provider-specific limits, and security responsibility. It is less turnkey than ChatGPT, which provides managed hosting, and less focused on local inference than Open WebUI, particularly in Ollama-centered setups. LibreChat is also less developer-oriented as a model-serving engine than Ollama-style workflows or direct provider SDKs. Chatbot UI provides a simpler interface, while LibreChat offers broader provider, agent, tool, file, and multi-user administration controls. Pick LibreChat when control, provider choice, self-hosting, agents, MCP tools, files, and user permissions matter more than a managed subscription. Pick ChatGPT for a polished hosted experience, Open WebUI for a local-first model interface, or direct provider APIs when application integration matters more than a shared chat workspace. LibreChat is best for teams needing these combined capabilities.

Open WebUI is a self-hosted AI interface created by Timothy J. Baek and maintained by Open WebUI, Inc. Its repository began in October 2023, and the project grew from an Ollama-focused interface into a browser front end for local and remote models. It can run offline or connect to OpenAI-compatible APIs, with deployment options including Docker, Kubernetes, Python, and bundled Ollama images. The software manages accounts, conversations, files, knowledge bases, tools, permissions, and administration, while optional features include image generation, speech, web search, and code execution. It does not include models or computing capacity, so operators select servers, storage, model runners, and external services. Open WebUI is recommended for teams and homelab users managing private AI infrastructure.

A typical Open WebUI installation uses Docker, Kubernetes, Python, or a bundled Ollama image, followed by a connection to Ollama or an OpenAI-compatible endpoint. Users select models, create conversations, attach files, search knowledge bases, and call configured tools. Administrators manage accounts, permissions, authentication, models, vector databases, document parsers, and integrations. Configured backends can add image generation, speech, web search, code execution, and external tool servers. This breadth suits teams and homelabs seeking one browser workspace for local and hosted models, but it creates more operational choices than a hosted chatbot. Operators remain responsible for servers, storage, backups, updates, and access controls. Response speed, model quality, retention, and data handling depend on selected infrastructure and connected services, making Open WebUI suitable for administrators running a private AI workspace.

Open WebUI offers more administration and collaboration features than a minimal Ollama front end, but operators remain responsible for security, updates, backups, storage, and provider configuration. Ollama is simpler for one person focused on running local models. LibreChat is a close alternative for a self-hosted interface connecting hosted providers, while AnythingLLM suits document-centered workspaces and retrieval. Open WebUI fits teams seeking one browser interface for Ollama and OpenAI-compatible APIs, with files, tools, knowledge bases, accounts, permissions, and model controls. Its standard internally branded deployment costs $0, though infrastructure, storage, hardware, and API charges remain separate. Buyers wanting a turnkey hosted chatbot, predictable all-in pricing, or unrestricted white-labeling should choose another product. It is recommended for teams able to manage servers, updates, and storage.