# Jan vs LobeChat Jan records 291,894 monthly visits with -9.6% month-over-month growth and Free pricing. LobeChat records 11,369 monthly visits with -1.5% growth and Freemium, Free pricing. | Metric | [Jan](https://openaitools.app/tool/jan) | [LobeChat](https://openaitools.app/tool/lobechat) | | :--- | :--- | :--- | | Website URL | https://jan.ai | https://lobechat.com | | Categories | AI Chatbot, AI Assistant, Open Source AI Models, Large Language Models (LLMs) | AI Productivity Tools, AI Chatbot, Large Language Models (LLMs) | | Pricing Model | Free | Freemium, Free | | Monthly Visits | 291,894 | 11,369 | | MoM Growth Rate | -9.6% | -1.5% | | Primary Market | United States | Russia | | Direct Visits | 105,615 | 4,652 | | Review Score | 4.6 | 4.7 | | Saved Count | 6 | 0 | | Supported Platforms | Website | Website | ## Jan Jan is a desktop application that positions itself as an open replacement for ChatGPT, with the key difference that inference happens on hardware you control. After installing the app you pick a model, and Jan downloads and runs it locally, so prompts, chat history, and files stay on your machine rather than on someone else's server. For heavier workloads you can connect an OpenAI, Anthropic, Gemini, or Mistral key and route requests to the cloud while keeping the same chat interface and local history. The project is developed in the open by Menlo Research and has accumulated tens of thousands of GitHub stars along with millions of downloads. It exposes OpenAI-compatible local endpoints, which means existing tooling and SDKs can point at Jan instead of a hosted service, and it supports custom assistants with their own instructions and model choices. Recent releases have added an agent surface alongside the classic desktop chat, and a memory feature is announced as coming to carry context and preferences between sessions. Because it is open source, Jan can be audited, self-built, and extended, and there is no paid tier gating the desktop client. The practical tradeoff is that local model quality and speed depend entirely on your own GPU or CPU, so lighter machines will favor smaller quantized models while cloud keys remain the escape hatch for harder tasks. **Pricing & Plans:** Jan is free and open source, with no paid tier for the desktop app. Costs only appear if you optionally connect your own paid cloud API keys for providers such as OpenAI or Anthropic. - **Local-first inference:** Download and run open models such as Llama, Mistral, Qwen, Gemma, and DeepSeek directly on your own machine, with chat data kept on device. - **Bring your own cloud models:** Optionally connect API keys for OpenAI, Anthropic, Gemini, Mistral, and other providers to route requests to frontier models from the same interface. - **OpenAI-compatible local API:** Jan exposes a local server endpoint that follows the OpenAI API shape, so existing SDKs and tools can talk to your local models without code changes. - **Custom assistants:** Create assistants with their own system instructions, model selection, and parameters, then reuse them across conversations. - **Open source and extensible:** The full desktop client and agent code are public on GitHub, so you can audit behavior, build your own version, and contribute improvements. **Strengths:** Completely free and open source, with no account required to run local models; Conversation data stays on your device by default; Works across macOS, Windows, and Linux with an OpenAI-compatible local endpoint; Optional cloud key support lets you mix local and frontier models in one app **Limitations:** Local model quality and speed are capped by your own hardware; Very large models may need substantial RAM or VRAM to be practical; Some cloud-connected and memory features are newer or still rolling out [Profile (Markdown)](https://openaitools.app/tool/jan.md) ## LobeChat LobeChat started as an open-source chat UI for language models and has grown into a full assistant workspace now branded LobeHub. The interface supports OpenAI, Anthropic Claude, Google Gemini, Mistral, DeepSeek, Qwen, Groq, Ollama and other providers, and you can switch between them mid-conversation or run local models through Ollama. Conversations are organised into assistants and topics, with prompt libraries, branch-and-edit message trees, vision input for image understanding and function calling for tools. The product layer around the chat is what distinguishes it: an assistant marketplace for discovering and sharing agents, a knowledge base that uploads documents and grounds answers in your own files, and a plugin system that lets assistants search the web, generate images, read PDFs or call external APIs. Artifacts render generated code and documents in a live canvas, and text-to-speech adds voice playback. Because it is open source, every part of the experience — including the model gateway and data storage — can be deployed on your own infrastructure. LobeChat is used as both a free personal assistant and a team tool. Individual users get a capable daily chat client without vendor lock-in, while organisations that care about data residency can self-host the whole stack and point it at internal or Azure OpenAI endpoints. **Pricing & Plans:** Freemium. The open-source client is free to use and self-host at no licence cost; a hosted cloud plan adds convenience, higher limits and team features, with paid tiers on top of the free allowance. - **Multi-model gateway:** Talk to OpenAI, Claude, Gemini, Mistral, DeepSeek, Qwen, Groq and local Ollama models from one interface, switching providers within a single conversation. - **Assistant marketplace:** Discover, clone and share agents with predefined prompts, tools and knowledge, so you are not building every workflow from scratch. - **Knowledge base with RAG:** Upload documents and files so answers are grounded in your own content rather than the model's general memory. - **Plugins and artifacts:** Extend assistants with web search, image generation and API calls, and render generated code or documents in a live canvas. - **Self-hosting and data control:** Deploy the open-source stack on your own servers or Vercel, keeping conversations, keys and files under your control. **Strengths:** Genuinely open source, so no vendor lock-in and full self-hosting is possible; Supports an unusually wide range of hosted and local models; Rich feature set: marketplace, knowledge base, plugins, artifacts and voice; Generous free tier for personal use plus a hosted option for convenience **Limitations:** Feature breadth means a busier interface than minimalist chat apps, with a learning curve; Self-hosting requires technical setup and ongoing maintenance; Some advanced capabilities depend on the specific model or plugin you connect [Profile (Markdown)](https://openaitools.app/tool/lobechat.md) ## Frequently Asked Questions ### How do Jan and LobeChat compare in monthly traffic? Jan has 291,894 monthly visits, while LobeChat has 11,369. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Jan has a month-over-month growth rate of -9.6%; LobeChat has -1.5%. ### How does pricing compare? Jan: Free. Jan is free and open source, with no paid tier for the desktop app. Costs only appear if you optionally connect your own paid cloud API keys for providers such as OpenAI or Anthropic. LobeChat: Freemium, Free. Freemium. The open-source client is free to use and self-host at no licence cost; a hosted cloud plan adds convenience, higher limits and team features, with paid tiers on top of the free allowance. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) | | 2 | [Kimi AI](https://openaitools.app/tool/kimi-chat) | 19,632,261 | -23.4% | Free | Moonshot AI's long-context assistant for research, coding, and agentic work | [.md](https://openaitools.app/tool/kimi-chat.md) | | 3 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Provides a lightweight command-line runtime for local LLMs, though it lacks Jan's built-in graphical user interface. | [.md](https://openaitools.app/tool/ollama.md) | | 4 | [Poe](https://openaitools.app/tool/poe) | 5,894,702 | +9.1% | Freemium | One app to chat with GPT, Claude, Gemini and hundreds of other AI models | [.md](https://openaitools.app/tool/poe.md) | | 5 | [Chatbot App](https://openaitools.app/tool/chatbot-app) | 2,170,883 | -9.7% | Freemium | Chat with 30+ leading AI models in one clean, fast workspace | [.md](https://openaitools.app/tool/chatbot-app.md) | | 6 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Self-hosted AI workspace for local and cloud models | [.md](https://openaitools.app/tool/open-webui.md) | | 7 | [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | -25% | Freemium | Put always-on AI agents on your team chat | [.md](https://openaitools.app/tool/lobehub.md) | | 8 | [Chatbox](https://openaitools.app/tool/chatbox) | 567,170 | -16.1% | Freemium | One privacy-first AI client for GPT, Claude, Gemini and more | [.md](https://openaitools.app/tool/chatbox.md) | | 9 | [Typing Mind](https://openaitools.app/tool/typing-mind) | 533,103 | +12.9% | Paid | The best frontend for AI. | [.md](https://openaitools.app/tool/typing-mind.md) | | 10 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Specializes in document chat and local RAG workflows, though less focused on general-purpose model tinkering than Jan. | [.md](https://openaitools.app/tool/anythingllm.md) | --- Source: https://openaitools.app/compare/jan-vs-lobechat More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)