Jan
Best For
Privacy-conscious users and developers who want to run LLMs locally on their own hardware without an internet connection.
Not Ideal For
Users with low-spec hardware or those who prefer managed cloud services with zero local resource consumption.
Pros & Cons
- 100% open-source and local-first architecture
- Supports a wide range of models including Llama, Mistral, and Gemma
- Cross-platform compatibility (Windows, Mac, Linux)
- Clean, user-friendly interface similar to ChatGPT
- No subscription fees or data tracking
- Requires significant RAM and GPU resources for large models
- Initial model downloads can be several gigabytes
- Performance is strictly limited by the user's hardware
Key Features
Local Inference
Run LLMs entirely on your own machine without sending data to external servers.
Model Hub
Built-in browser to discover and download popular open-source models directly within the app.
OpenAI Compatibility
Provides a local API server that mimics OpenAI's API structure for easy integration with other tools.
Hardware Acceleration
Optimized support for NVIDIA GPUs, Apple Silicon (M1/M2/M3), and Intel/AMD processors.
Extension System
Modular architecture that allows users to add custom plugins and features to the core application.
Pricing Breakdown
Jan is a free, open-source desktop application that runs AI models offline on your own computer. It has no paid tier and no pricing page on its website. Users pay directly for API usage if they connect to cloud providers like OpenAI.
Pricing verified Sep 9, 2026
⚠️ Pricing is subject to change. Always verify current pricing on the tool's official website before purchasing.
Free Tier
Runs AI models offline on your own computer; no subscription fees, API usage fees, or usage limits from Jan itself. Limits are based on hardware capabilities and electricity bill.
Integrations
Who Should Use This
Privacy-conscious users and developers who want to run LLMs locally on their own hardware without an internet connection.
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