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HuggingChat

by Hugging Face

AI ChatAI AssistantAI ChatbotAI CodingAI WritingAI ResearchAI ReasoningOpen Source AI

Open-source AI chat platform by Hugging Face with automatic model routing and access to a wide range of open models.

HuggingChat is Hugging Face's AI chat application for interacting with open and community-developed AI models. Its current experience uses Omni to automatically select an appropriate model for a user's request, while also allowing users to choose from available models directly. HuggingChat supports tasks such as coding, writing, research, reasoning, document and image-based workflows on supported models, and connects to Hugging Face Inference Providers. The platform is built around the open-source AI ecosystem and can work with many different models and providers through a single chat interface.

Provider

Hugging Face

Category

AI Chat

Available On

Web, iOS

Launched

Apr 2023

Use Cases

Coding, Writing, Research, Education

Best For

Exploring open-source AI models, comparing models, coding, research, experimentation, and AI development workflows

🧠 Models (5)

HuggingChat OmnivOmni

Model Router

Open Source

Context Window

Varies by selected model

Input

text

Output

text

Qwen3.5 27BvQwen3.5-27B

Multimodal

APIOpen Source

Context Window

Model-dependent

Input

text, image

Output

text

Qwen3 32BvQwen3-32B

Reasoning

APIOpen Source

Context Window

Model-dependent

Input

text

Output

text

GPT OSS 20Bvgpt-oss-20b

Reasoning

APIOpen Source

Context Window

Model-dependent

Input

text

Output

text

DeepSeek V4.1 FlashvDeepSeek-V4.1-Flash

Multimodal Reasoning

APIOpen Source

Context Window

1M tokens

Input

text, image

Output

text

✨ Features (8)

Omni Model Routing

Automatically selects an appropriate AI model for each request based on the task

Multiple Open Models

Lets users select from a large collection of available open-source and open-weight models

Model Comparison

Provides access to different models through one interface so users can test and compare their responses

Multimodal Support

Supports multimodal interactions when the selected model provides vision or other multimodal capabilities

Inference Providers

Uses Hugging Face Inference Providers to provide access to models from multiple infrastructure providers

Open Source Ecosystem

Connects the chat experience directly with the Hugging Face open model ecosystem

ML Intern

Provides an ML-focused assistant experience for papers, training, Spaces, datasets, and evaluation workflows

Open Source Chat UI

HuggingChat is powered by Hugging Face Chat UI, an open-source interface supporting tools, multimodal inputs, and model routing

💰 Pricing

Free Plan

Free Trial

Paid Plan

Enterprise

Starting Price

$9/month

Billed monthly

API Pricing

Hugging Face Inference Providers use pay-as-you-go pricing; free users receive $0.10 monthly credits and PRO users receive $2.00.

💬 Prompt Library (5)

Explain Code

Coding

Get a detailed explanation and review of your code

Explain the following code in simple language. Identify bugs, security issues, performance problems, and possible improvements.

```[PASTE CODE HERE]```

Compare AI Models

Research

Compare multiple AI models for a specific task

Compare these AI models for the following task: [TASK]. Evaluate their reasoning, coding ability, speed, context handling, accuracy, and practical strengths. Present the comparison clearly.

Models: [MODEL 1], [MODEL 2], [MODEL 3]

Research Topic

Research

Create a structured research summary

Research the topic '[TOPIC]' and provide a structured explanation covering the key concepts, important evidence, practical examples, limitations, and useful conclusions.

Write Article

Writing

Generate a structured article

Write a detailed article about [TOPIC]. Use a clear introduction, H2 headings, practical examples, useful information, and a concise conclusion. Target audience: [AUDIENCE].

Solve Problem

General

Solve complex problems with detailed reasoning

Solve the following problem carefully. Explain the reasoning step by step, verify the result, and mention any assumptions or alternative approaches.

[PROBLEM]

🔗 Integrations (5)

🎯 Related AI Chat Tools

View all →

⚠️ Limitations

  • Response quality depends on the model selected or automatically routed by Omni
  • Different models have different capabilities, context windows, and input formats
  • Inference Provider availability and pricing can vary by model and provider
  • Free inference usage is limited by available monthly credits and service limits
  • AI-generated responses may contain inaccurate or incorrect information
  • Some advanced model capabilities require supported models and inference providers
  • Model availability can change as Hugging Face adds, removes, or updates models

📚 Sources

HuggingChat — Open Source AI Chat & Model Platform | CodeKeet Directory