HuggingChat vs LibreChat
Price, platforms and features side by side. The table says where each price was read and when.
HuggingChat
Hugging Face's open-source chat app for open AI models
Where they differ
- HuggingChat starts at $9 per month (Hugging Face PRO). LibreChat is free.
At a glance
| HuggingChat | LibreChat | |
|---|---|---|
| Pricing | Free plan | Free |
| Starts at | $9 per month (Hugging Face PRO) | Free |
| Free plan | Free with a Hugging Face account. Chats are billed as Inference Providers usage against $0.10 of monthly credits (subject to change); at the limit the app asks you to upgrade to PRO. | Free and open source under the MIT license, with no subscriptions. You host it yourself and add your own model API keys; a public demo is offered for evaluation only. |
| Free trial | None listed | None listed |
| Web | ||
| Made by | Hugging Face | LibreChat (ClickHouse) |
| Price read from | huggingface.co | librechat.ai |
| Checked | Oct 5, 2026 | Oct 5, 2026 |
Who each one suits
HuggingChat
- Trying many open source models from one chat window
- Hugging Face users who want to run Hub jobs and build Spaces from a chat
- Teams that want to self-host the same chat interface
LibreChat
- Teams that want a self-hosted chat interface they can audit and extend
- Organizations that need SSO and control over where chat data lives
- Using API keys from several model providers in one place
Worth knowing
HuggingChat
- It runs in a browser only and needs a Hugging Face account. No mobile app is listed, and the GitHub repository of the earlier macOS app was archived on Dec 5, 2025.
- Free accounts get $0.10 of monthly inference credits, subject to change, and Hugging Face does not say how many messages that covers.
- There is no HuggingChat-only plan: more usage comes from Hugging Face PRO at $9 per month, which bundles storage and Spaces benefits, and from buying extra credits.
- Only open source models are offered, and requests run on third-party inference providers that apply their own security and data-handling policies.
LibreChat
- It is a self-hosted web application: the docs say there is no native Windows app or Linux AppImage, and no hosted paid plan is offered.
- You run it yourself with Docker, npm or a Helm chart and supply your own model API keys.
- The public demo at chat.librechat.ai is for evaluation only and is not meant for private data.
- The code interpreter, message search and file chat rely on extra services you deploy: a code-execution service, Meilisearch and the RAG API.
Key features
HuggingChat
- Omni model router
- Omni chooses a model for each message: image inputs go to a vision model, requests with MCP tools switched on go to a tools-capable model, and everything else follows a default route.
- Catalog of open models
- Instead of Omni you can chat with a specific model. The list showed 133 models when checked, including DeepSeek, Qwen, GLM, Kimi, Gemma and Llama releases.
- MCP tools and web search
- Models can call tools on MCP servers. Web Search (Exa) and a Hugging Face server are preconfigured, and you can add your own servers from the chat input or the settings.
- ML Intern
- An experimental mode that plans and runs machine-learning work on the Hugging Face Hub, such as finetuning or evaluating a model, within a compute budget you set for each conversation.
- Image and voice input
- Models that support vision accept image uploads, and the published production configuration turns on speech transcription with OpenAI's whisper-large-v3-turbo model.
- Open source and self-hostable
- The app runs on Chat UI, an Apache-2.0 SvelteKit project that can be run locally, with Docker or with Helm against any OpenAI-compatible endpoint, including Ollama and llama.cpp.
LibreChat
- Many providers in one interface
- Works with OpenAI, Anthropic, Google, Azure and AWS Bedrock out of the box, and custom endpoints add Ollama, Mistral AI, OpenRouter and other services.
- Agents
- Build custom assistants with tools, file handling, code execution and API actions without writing code.
- Code Interpreter
- Runs Python, JavaScript, Go, Rust and other languages in a sandbox. It is powered by an Apache 2.0 code-execution service that you deploy and point LibreChat at.
- MCP and web search
- Connects models to external tools through Model Context Protocol servers and gives any model live internet access with built-in search and reranking.
- Artifacts and chat tools
- Generates React components, HTML pages and Mermaid diagrams in chat, and supports forking, shareable links, temporary chats and importing conversations from ChatGPT.
- Multi-user authentication
- Sign-in through OAuth2, SAML or LDAP with two-factor authentication, plus an admin panel for users, roles and configuration, and moderation tools.
Plans
HuggingChat
Free$0
A free Hugging Face account with $0.10 of monthly inference credits, subject to change. HuggingChat shows an upgrade prompt once the message limit is reached.
PRO$9
per month
Hugging Face PRO, not a HuggingChat-only plan: $2.00 of monthly credits (20x the free amount), pay-as-you-go beyond that, plus PRO storage and Spaces benefits.
Team$20
per user / month
Hugging Face organization plan with $2.00 of monthly credits per seat, shared by members. HuggingChat usage can be billed to the organization.
Enterprise$50
per user / month, with annual commitments
Everything in Team plus SCIM provisioning, the highest rate limits and managed billing. Bought through Hugging Face's sales team.
LibreChat
Free$0
The full self-hosted application, including agents, the code interpreter, MCP, web search and SSO, under the MIT license.