Home / AI Tool Library / Jan Jan 開源社群macOS · Windows · Linux
Open-source desktop app for local LLMs, emphasising offline use and privacy
Good for Fully offline, data never leaves the machine Preferring open source you can inspect Wanting a simple desktop interface Not for Production services shared by many users Needing frontier-model capabilityWe deliberately put “not for” on the same screen — a review that only lists strengths carries no information.
Pricing Entirely free and open source; your only cost is hardware.
Amounts not yet manually verified. The above is a qualitative description of the billing model — defer to the official site for numbers. Editorial rating
Capability 3 3/5
Ease of use 5 5/5
Cost value 5 5/5
Privacy control 5 5/5 Editorial opinion, not an aggregated user rating. Data last verified: 2026-09-29.
Two ways in PATH A · START WITH THIS TOOL
You have picked it and want it running. Install first, understand later — the vocabulary makes more sense once the tool is on your screen.
No tutorial for this tool yet. PATH B · SURVEY FIRST, THEN CHOOSE
You are still comparing. See where this tool sits in the landscape before committing an afternoon to it.
Development pathForm factor:local-runtime
No verified timeline events for this tool yet.
First release: not stated. Not derived automatically. The earliest timeline event mentioning this tool may be a version milestone, a different product with the same name, or a passing mention rather than a launch; each needs checking against an official source, so this is left empty.
Our articles about JanWe have not published a hands-on review of Jan yet. This entry is a structured summary; the in-depth review will appear here.
Tools it is often compared withAlternatives Run open models locally with one command, exposing an OpenAI-compatible API
Local Model Runtime Beginner
Subscription Free tierPrice verified 2026-10-01 Local run free; Pro USD 20/mo (USD 60 credits); Max USD 100/mo (USD 300 credits); Team USD 500/mo; Enterprise custom.
Good for
Privacy settings where data cannot leave the network Driving token cost to zero at high call volume Offline or unreliable-network environments 4 site articles 1 scenarios Official site View tool GUI to download, manage, and run local models; supports GGUF and MLX
Local Model Runtime Beginner
Freemium Free tierSee official pricing Free for personal use; commercial use requires a licence. See the official site for current terms.
Good for
Local models without touching a terminal MLX acceleration on Apple Silicon Comparing real performance across quantisations 4 site articles 1 scenarios Official site View tool Learning tracks that include this tool Keep going Next steps
Everything here is free, and every piece ships with its method, raw data and traceable sources. Not sure where to start? Learn the vocabulary first, then pick a track.
This page is an editorial summary, not an official page. Trademarks and product names belong to their respective owners. If anything here is wrong or out of date, tell us and we will correct it. Last verified: 2026-09-29.