Which AI Models and Providers Does LibreChat Support?

LibreChat is designed as a multi-provider chat platform: its own feature list names Anthropic, AWS, OpenAI, and Azure among the AI model sources it can select from, and model choice is presented as a core part of the interface rather than a per-deployment add-on. In practice, which models you can actually use depends on how your instance is configured and which provider APIs have been connected to it.

What the official feature list covers

The site's "Models" feature is described as "AI model selection including Anthropic, AWS, OpenAI, Azure, and more." That phrasing matters in two ways:

• Named providers — Anthropic, AWS, OpenAI, and Azure are explicitly listed, so these are the reference points for what LibreChat is built to talk to.
• "and more" — the list is not presented as exhaustive, so additional providers may be supported depending on the version and configuration.

Because the platform is open source, the authoritative and current provider list lives in the project's documentation and code rather than in a single marketing sentence. If a specific provider matters to you, check the docs for that provider before committing.

Switching models in one interface

The stated purpose of LibreChat is to bring "all your AI conversations in one unified, customizable interface." Model selection sits inside that interface, which means the practical workflow is:

1. Open a conversation in your LibreChat instance.
2. Use the model selector to choose among the models that instance has been configured to expose.
3. Continue the conversation with the selected model.

This is the main reason people look at LibreChat: you are not locked into one vendor's chat product, and you can move between models without changing tools.

What determines your actual model list

The named providers are capabilities of the platform, not a guarantee about your deployment. Three things shape what you see:

So the honest answer to "does LibreChat support provider X?" is usually "the platform is built to, but your instance must be configured for it." If you are evaluating LibreChat for a team, confirm the specific providers you need against the documentation and your intended deployment before rolling it out.

Related capabilities worth knowing

Model selection does not stand alone. The same feature set includes:

• Agents — advanced agents with file handling, code interpretation, and API actions.
• Code Interpreter — execute code in multiple languages with zero setup.
• Artifacts — create React and HTML code plus Mermaid diagrams in chat.
• MCP — connect to tools and services via Model Context Protocol.
• Web Search — give any model live internet access with built-in search and reranking.
• Memory — persistent context across conversations.
• Authentication — enterprise-ready SSO with OAuth, SAML, LDAP, and two-factor auth.

These matter for the provider question because they affect which models are useful to you: a model that supports tool use or long context will get more out of Agents, MCP, and Memory than one that does not.

How to check for yourself

• Read the Models feature page in the documentation for the current provider list.
• Use the Try Demo link to see model selection in action before installing anything.
• Follow the Quickstart Guide for local or remote install, then configure the providers you need.
• For a production decision, verify each required provider against the docs for your version rather than relying on the homepage summary.

The site also links a Subscribe page, but the homepage does not state what a subscription includes or whether any features are gated behind it — treat pricing and access terms as something to confirm directly if they affect your choice.