Jan Review, Pricing & Features

Jan is a free, open source ChatGPT alternative that runs AI models locally and offline. Compare its features, model support, and alternatives like LM Studio.

Category
AI Chatbots
Pricing
Free, from Free
Verified
Not yet
Last updated
July 18, 2026
Founded
2023
Headquarters
Singapore
WindowsAPIOpen SourceAISelf-HostedMac

Overview

Jan is an open source desktop application that lets anyone run AI chat models locally on their own computer, offering a ChatGPT-style interface without requiring cloud access or an API subscription. It is built by Menlo Research, a Singapore company founded in 2023 by Stanford alumni Daniel Ong and Nicole Zhu, with the project quickly growing to over 42,000 GitHub stars and 5 million downloads.

Under the hood, Jan is a Tauri and TypeScript desktop app powered by the llama.cpp inference engine, which lets it run quantized open-weight models efficiently on ordinary consumer hardware. It ships under the Apache 2.0 license, meaning the full source is auditable and free to adapt, including for commercial use.

Key Features

Jan includes an in-app model catalog for downloading open-weight models like Llama, Qwen, Gemma, Mistral, DeepSeek, and GPT-OSS, with over 120 models accessible via Hugging Face integration, and it works entirely offline with no telemetry by default. Users can also connect it to cloud APIs such as OpenAI, Anthropic Claude, or Google Gemini using their own API keys, mixing local and cloud inference inside one chat interface.

For developers, Jan can run as a local server that mimics the OpenAI API format, so existing applications built against OpenAI's API can point at Jan and use local models as a drop-in substitute with no code rewrite, which has made it popular for prototyping and privacy-sensitive development workflows.

Pricing

Jan is completely free and open source, with no subscription tiers, seat-based pricing, or feature paywalls; every capability, including the model catalog, local API server, and cloud model integrations, is available at no cost.

The only costs a user might incur are indirect: sufficiently powerful hardware to run larger local models comfortably, or usage fees charged by third-party providers like OpenAI or Anthropic if the user chooses to connect their own API key for cloud models within Jan.

Key Features

Pros & Cons

Pros

  • Completely free and open source under Apache 2.0
  • Works fully offline with no data leaving the device
  • OpenAI-compatible API makes it a drop-in local backend for developers
  • Supports both local open-weight models and cloud models in one app
  • Large, active community with frequent updates

Cons

  • Local model quality and speed depend heavily on the user's own hardware
  • Larger, more capable models require significant RAM or GPU resources
  • Persistent memory across conversations is on the roadmap but not yet available
  • Less polished enterprise support compared to commercial AI platforms
  • Model management and quantization concepts have a learning curve for non-technical users

Pricing

Frequently Asked Questions

Is Jan free to use?

Yes, Jan is completely free and open source under the Apache 2.0 license, with no subscription fees.

Do I need an internet connection to use Jan?

No. Jan can run entirely offline using locally downloaded open-weight models; an internet connection is only needed if you choose to connect a cloud model API.

Who makes Jan?

Jan is built by Menlo Research, a Singapore-based company founded in 2023 by Daniel Ong and Nicole Zhu.

What models does Jan support?

Jan supports open-weight models including Llama, Qwen, Gemma, Mistral, and DeepSeek locally, plus cloud models like ChatGPT, Claude, and Gemini via API key.

Can developers build on top of Jan?

Yes, Jan can run as a local server exposing an OpenAI-compatible API, letting developers point existing applications at local models with no code changes.

What platforms does Jan run on?

Jan is available as a native desktop application for macOS, Windows, and Linux.

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