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
- free
- The entire application is free and open-source under the AGPLv3 license.
- enterprise
- Custom support and deployment options available for organizations upon request.
⚠️ Pricing is subject to change. Always verify current pricing on the tool's official website before purchasing.
Free Tier
- storage
- limited only by your hard drive
- features
- All features are available for free
- requests
- unlimited
Integrations
Who Should Use This
Content featuring Jan
Comparisons, deep dives, and stack guides
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