# Jan vs LM Studio Jan records 291,894 monthly visits with -9.6% month-over-month growth and Free pricing. LM Studio records 6,590 monthly visits with -8.7% growth and Free pricing. | Metric | [Jan](https://openaitools.app/tool/jan) | [LM Studio](https://openaitools.app/tool/lm-studio) | | :--- | :--- | :--- | | Website URL | https://jan.ai | https://www.lm-studio.me | | Categories | AI Chatbot, AI Assistant, Open Source AI Models, Large Language Models (LLMs) | Large Language Models (LLMs), Open Source AI Models, AI Models | | Pricing Model | Free | Free | | Monthly Visits | 291,894 | 6,590 | | MoM Growth Rate | -9.6% | -8.7% | | Primary Market | United States | China | | Direct Visits | 105,615 | 819 | | Review Score | 4.6 | 2.1 | | 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) ## LM Studio LM Studio is a desktop application built to make open-source AI models usable without any command line work. You browse or search Hugging Face model repositories from inside the app, download a quantized GGUF build that fits your hardware, and load it into a chat interface that feels like any other messaging app. Because everything executes on your own machine, prompts, documents and responses never leave your computer, which matters for privacy-sensitive work. The app also exposes an OpenAI-compatible local server, so applications and scripts already written against the OpenAI API can be pointed at your machine instead of a cloud endpoint. Alongside the chat UI, a Playground mode lets you load several models at once and compare their answers or combine their strengths. Hardware-fit estimates warn you in advance when a model is too large for your RAM or VRAM. The website covered by this listing, lm-studio.me, is an independent third-party resource rather than the vendor's own domain. It mirrors the product's key facts, offers Mac, Windows and Linux downloads, and answers common setup questions, but it is not operated by the LM Studio team. Users who need official binaries, release notes or commercial licensing terms should confirm them with the tool's own publisher. **Pricing & Plans:** Free for individual use, according to the product's own documentation. Vendors should confirm current commercial-use and licensing terms on the official site, since third-party pages can lag behind. - **One-click model download:** Search Hugging Face repositories from inside the app and pull compatible model files without touching a terminal. - **100% offline inference:** Models run on your local GPU and CPU, so prompts and data never leave your device. - **OpenAI-compatible local server:** Expose loaded models on a localhost endpoint so existing API-based tools and scripts can connect unchanged. - **In-app chat and Playground:** Chat with a single model or load several at once to compare and combine their outputs. - **Hardware fit guidance:** The app estimates whether a given model will actually run well on your RAM, VRAM and chip before you download it. **Strengths:** No account or cloud dependency required to run models; Graphical interface makes local LLMs accessible without coding; OpenAI-compatible endpoint simplifies migration from cloud APIs; Hardware-fit estimates reduce the frustration of failed downloads **Limitations:** Response quality depends heavily on your own RAM, VRAM and GPU; Large models still require substantial hardware investment to run well; This particular site is a third-party page, so official support and updates must be sought elsewhere [Profile (Markdown)](https://openaitools.app/tool/lm-studio.md) ## Frequently Asked Questions ### How do Jan and LM Studio compare in monthly traffic? Jan has 291,894 monthly visits, while LM Studio has 6,590. 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%; LM Studio has -8.7%. ### 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. LM Studio: Free. Free for individual use, according to the product's own documentation. Vendors should confirm current commercial-use and licensing terms on the official site, since third-party pages can lag behind. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Offers instant access to hundreds of cloud models via unified API, replacing local hardware requirements with cloud compute. | [.md](https://openaitools.app/tool/openrouter-ai.md) | | 2 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Provides a lightweight CLI runtime for running models locally, but lacks LM Studio's graphical model browsing GUI. | [.md](https://openaitools.app/tool/ollama.md) | | 3 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Provides a feature-rich self-hosted web interface for local LLMs, but requires a separate backend like Ollama. | [.md](https://openaitools.app/tool/open-webui.md) | | 4 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Specializes in local RAG and document chat workflows, but functions more as a knowledge base than general model runner. | [.md](https://openaitools.app/tool/anythingllm.md) | | 5 | [LibreChat](https://openaitools.app/tool/librechat) | 346,879 | -3.5% | Free | Unites multiple local and cloud LLM providers in a flexible UI, but requires external model backends. | [.md](https://openaitools.app/tool/librechat.md) | | 6 | [Dyad](https://openaitools.app/tool/dyad) | 207,981 | +3.5% | Freemium | Free, open-source AI app builder that runs on your own machine | [.md](https://openaitools.app/tool/dyad.md) | | 7 | [Lemonade](https://openaitools.app/tool/lemonade-ai) | 96,232 | -34.4% | Free | Supports multi-modal local models including vision and speech, but has a smaller community than LM Studio. | [.md](https://openaitools.app/tool/lemonade-ai.md) | | 8 | [Open Interpreter](https://openaitools.app/tool/open-interpreter) | 57,487 | -29% | Free | Open-source coding agent built for low-cost, open-weight language models | [.md](https://openaitools.app/tool/open-interpreter.md) | | 9 | [ChatWise](https://openaitools.app/tool/chatwise) | 14,673 | -22.1% | Freemium, Free Trial, Paid | Offers a desktop AI application with local data storage, but lacks Jan's extensive open-source community support and ecosystem. | [.md](https://openaitools.app/tool/chatwise.md) | | 10 | [local.ai](https://openaitools.app/tool/local-ai) | 6,014 | +8.6% | Free | Provides a native desktop playground for running open-weight models locally on CPU, but with fewer advanced configuration controls. | [.md](https://openaitools.app/tool/local-ai.md) | --- Source: https://openaitools.app/compare/jan-vs-lm-studio More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)