Jan — Free Local LLM Runner

By Menlo Research · AI tools
  • Open source
  • Free
  • AI tools
Download Jan Direct download from github.com Official download page Link checked October 19, 2026

Our verdict: Jan is one of the friendliest ways to chat with open models entirely on your own computer. It downloads models from inside the app, runs them on your GPU or CPU, and keeps all data local. You need a reasonably modern PC: an AVX2 CPU, 8 GB RAM at minimum and a GPU with 6 GB VRAM for good speed.

Jan on its official website
Jan on its official website · Screenshot from the official website

About Jan

Jan is an open-source desktop app under the Apache License 2.0, developed by Menlo Research. It runs open models such as Llama, Gemma, Mistral, Qwen and DeepSeek locally through a bundled llama.cpp engine, with GPU acceleration on NVIDIA, AMD and Intel Arc cards. Models, chats and settings are stored in a local data folder, and nothing is sent to the cloud.

If you want, you can also add cloud providers with your own API keys and use them in the same chat window. Jan includes a local API server compatible with the OpenAI format, so other programs on your PC can use your local models, and it supports MCP servers for tools.

What it does well

  • Local models. Downloads and runs open LLMs on your own hardware, offline.
  • GPU acceleration. Uses NVIDIA (CUDA), AMD and Intel Arc (Vulkan) graphics cards.
  • Local API server. Serves your models through an OpenAI-compatible API on your PC.
  • Cloud providers. Optionally adds online models with your own API keys.
  • MCP support. Connects Model Context Protocol servers for tools.

Who it is for

Good fit

Privacy-minded users who want a ChatGPT-like assistant that runs offline on their own PC.

Look elsewhere

Older PCs without AVX2 or with little RAM, and people who need top cloud-model quality.

Pros and cons

Pros

  • Free and open source
  • Runs offline with data kept on your PC
  • Simple in-app model downloads
  • OpenAI-compatible local API

Cons

  • Needs an AVX2 CPU and plenty of RAM
  • Local models are weaker than top cloud models
  • Model files take a lot of disk space

How to install Jan

Run the x64 setup file; Windows on ARM PCs need the ARM64 installer from the same page. Jan needs a CPU with AVX2, at least 8 GB RAM (16 GB recommended) and 10 GB of free space. Turn on your GPU in Settings, Hardware, and download a model from the Hub; model files are several gigabytes each.

Questions about Jan

Is Jan free?

Yes. Jan is open source under the Apache License 2.0 and free to use. Cloud models you add with your own API key are billed by that provider.

Does Jan work offline?

Yes. Once a model is downloaded, Jan runs it locally, and your chats and settings stay in a data folder on your PC.

Download Jan from jan.ai ExeDepot does not host this file. The download starts from the developer's server, github.com. Other versions are on the official download page.

Alternatives to Jan

  • LM Studio Local LLM Runner

    Free desktop app for discovering, downloading and running open LLMs locally, with a built-in API server.

    Element Labs · Freeware · lmstudio.ai
  • Ollama Local LLM Runner

    Open-source tool that runs open LLMs locally on Windows with a simple app, a CLI and a local API.

    Ollama · Open source · ollama.com
  • GPT4All Local LLM Runner

    Open-source app from Nomic that runs local LLMs on an ordinary PC and chats with your own documents.

    Nomic AI · Open source · nomic.ai
  • KoboldCpp Local LLM Runner

    Single-file, open-source app for running GGUF language models locally for chat, stories and roleplay.

    Concedo (LostRuins) and contributors · Open source · github.com/LostRuins

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