HuggingChat (huggingface.co/chat) is the conversational AI interface developed by Hugging Face, the world's leading open-source AI platform. Unlike proprietary chatbots, HuggingChat provides direct access to a curated selection of the best open-weight language models — including Meta's Llama series, Mistral, Falcon, and others — letting users choose which model powers their conversation. This model flexibility makes HuggingChat uniquely valuable for developers, researchers, and AI enthusiasts who want to compare model performance, experiment with different architectures, and engage with the latest open-source releases without accessing each model individually. HuggingChat is tightly integrated with the broader Hugging Face ecosystem of model repositories, datasets, and developer tools.
How HuggingChat Works
Visit huggingface.co/chat and begin a conversation immediately. Select the language model you want to use from the model switcher — options include the latest Llama, Mistral, Falcon, and other open-weight models hosted on Hugging Face. Type a message to start a conversation; HuggingChat sends the input to the selected model and streams the response. Create a free Hugging Face account to save conversation history and access additional features. Explore community-created assistant configurations — custom system prompts and model pairings shared publicly — to find pre-configured bots optimized for specific use cases like coding, writing, or research. Pro and higher paid plans on the Hugging Face platform unlock access to more powerful hosted models, higher usage limits, and faster inference speeds.
Key Features
- Multi-model access — choose from a curated selection of top open-weight models in a single interface
- Open-source foundation — built on and integrated with the Hugging Face model hub ecosystem
- Community assistants — browse and use publicly shared custom assistant configurations
- Model comparison — run the same prompt across different models to compare outputs directly
- Web search — some model configurations support real-time web search for current information
- Document upload — attach documents for context and analysis in conversations
- Conversation history — save and access past conversations with a Hugging Face account
- Custom system prompts — configure assistant behavior with custom instructions
- API integration — access models programmatically via the Hugging Face Inference API
- Developer-friendly — tight integration with the Hugging Face model hub for researchers and engineers
HuggingChat Pricing

| Plan | Monthly | Key Inclusions |
|---|---|---|
| Pro | $9/mo | Higher usage limits, access to more powerful hosted models, priority inference, ZeroGPU compute credits |
| Teams | $20/mo | All Pro features per member, private model repositories, team access management, collaborative spaces |
| Enterprise Hub | $50/mo | All Teams features, SSO, audit logs, dedicated support, advanced security, compliance controls |
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Who Should Use HuggingChat?
HuggingChat is ideal for AI researchers and developers who want to interact with and compare the latest open-weight models through a consumer interface, data scientists and ML engineers who work within the Hugging Face ecosystem and want a chat companion to the model hub, open-source AI enthusiasts who prefer transparent, community-governed AI tools over proprietary alternatives, university researchers and students studying large language model capabilities across different architectures, and technical professionals who want flexibility to switch between models based on task requirements. The Pro plan at $9/month is one of the most affordable ways to access priority inference on frontier open-weight models.