Jan
Run downloaded language models in a desktop assistant, or connect cloud providers and a local compatible API.
- Starting price
- $0 software licence
- Free access
- Self-managed edition
- Billing unit
- Compute / provider usage separate
- Platform
- Windows / macOS / Linux
- Verified
- 17 Oct 2026
Overview
What you provide
- You provide prompts, a downloaded model or provider connection.
What you get
- You receive chat responses and local API responses.
Choosing this tool
Choose Jan when you want a local chat app plus a local OpenAI-compatible server in the same tool. The cloud-provider list is an option, not evidence that every conversation stays on the device. Choose GPT4All for a LocalDocs-first workflow or LM Studio when its model-management workflow suits your team.
A decision worked through
For a private draft, record the selected model and endpoint before sending it. A localhost:1337 client can address Jan, but selecting a cloud provider changes the processing route even though the desktop interface looks similar.
Jan alternatives: choose an implementation route
For Jan, compare local chat plus an API endpoint with desktop model management and LocalDocs; keep cloud connections separate from local inference.
| Product | Deployment requirements | Free allowance | Input → output | Key limit |
|---|---|---|---|---|
| JanRead profileOfficial source ↗ | Windows/macOS/Linux desktop app with a localhost:1337 API. Download a model that fits device memory; cloud-provider mode is a separate route. | Self-managed edition | Prompts, a downloaded model or provider connection → Chat responses and local API responses | See the product-specific review limits below. |
| LM StudioRead profileOfficial source ↗ | Desktop app with downloaded local models; choose model size against available memory. Bionic cloud access does not upgrade local hardware. | Local Free | Input: prompts and local documents. Output: model responses and document answers. Review citations and factual claims before reuse. | Initial model/runtime downloads require connectivity. Model size must fit your hardware. Offline capability does not establish the privacy of optional cloud services or third-party tools. |
| GPT4AllRead profileOfficial source ↗ | Desktop installer and LocalDocs; CPU inference supported without a required GPU. Model files still need sufficient RAM; model licences vary. | Self-managed edition | Local models, prompts and a LocalDocs collection → Chat answers and document-retrieval responses | The application licence and individual model licences differ. Linux architecture and available memory constrain model choice; large documents still need retrieval and answer checks. |
Setup & workflow
- Install the desktop app.
- Download a hardware-appropriate model.
- Verify local selection.
- Try a short prompt.
- Enable API or tools only when needed.
Requirements & installation
- Windows / macOS / Linux
Limits & review
- Model size must fit RAM and acceleration support. MCP tools can introduce external connections or actions; local inference alone does not make every tool offline.
Your part
- Check which provider will receive a prompt and review permissions for each enabled MCP tool.
Sources & verification6
This profile is based on official sources, not a hands-on product test.
Vendor descriptions and demos document advertised features. Editorial guidance is based on these sources.
- Jan official READMEgithub.com
- Jan software licencegithub.com
- Pricinglmstudio.ai
- Offline operationlmstudio.ai
- GPT4All official READMEgithub.com
- GPT4All software licencegithub.com