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Jan vs LM Studio: Which Is Better?

Quick Answer

Jan is fully open source with an extension system. LM Studio has a more polished UI and a larger built-in model library. For power users who want customization, choose Jan. For ease of use, choose LM Studio.

  • β–ΈJan: open source, extensions, runs well on Linux
  • β–ΈLM Studio: polished UI, larger model library, better UX
  • β–ΈBoth are free and work fully offline

Updated: 2026-05

Tool ComparisonsIntermediate

Key Takeaways

  • βœ“Jan is MIT-licensed and open source; LM Studio is proprietary but free to use for personal and commercial projects
  • βœ“Jan supports all three OSes natively with both NVIDIA and AMD GPU acceleration; LM Studio is Mac and Windows only (Linux support is beta-only as of May 2026)
  • βœ“LM Studio has a built-in model store with one-click downloads; Jan relies on third-party model sources like Hugging Face
  • βœ“Both apps use GGUF format, include a local API server, and work fully offline β€” the choice is customization vs. polish

The Open Source vs Polish Trade-off

Jan (github.com/janhq/jan) is MIT-licensed and fully open source β€” you can read, fork, and modify the code. LM Studio (lmstudio.ai) is proprietary software that is free to use but closed source. Jan ships an extension system that lets developers add custom functionality, a feature LM Studio does not offer.

Real extension use cases include: connecting Jan to cloud APIs (OpenAI, Anthropic, Groq) for hybrid local/cloud workflows, adding custom prompt templates and chat presets, and integrating with external tools like Obsidian for note-taking. Around 30 community extensions exist as of May 2026.

LM Studio's main advantage is its built-in model store. You can browse, preview, and download hundreds of GGUF models without leaving the app. Jan requires you to find models on Hugging Face or import them manually β€” more friction for users who just want to get started quickly.

For developers who want to build on top of the application, Jan's open-source codebase and extension API are meaningful advantages. For everyone else, the choice comes down to which workflow matches your daily use.

Which Fits Your Workflow

Use Jan if you want to extend the app, run it on Linux, or need AMD GPU support. Use LM Studio if you want a polished experience with a built-in model library and do not need customization.

For the full comparison with setup steps and API details, see the Jan vs LM Studio in-depth guide.

FeatureJanLM Studio
LicenseMIT (open source)Proprietary (free)
OS supportMac / Windows / LinuxMac / Windows
GPU backendsNVIDIA + AMDNVIDIA only
Model library3rd-party (Hugging Face)Built-in store
Best forCustomization / extensibilityEase of use / model variety

Quick Answers About Jan vs LM Studio

Is Jan really free?β–Ύ
Yes. Jan is MIT-licensed open source software. There are no paid tiers, no telemetry by default, and the full source code is on GitHub at github.com/janhq/jan.
Does LM Studio work on Linux?β–Ύ
LM Studio does not have an official stable Linux release. It runs on Mac and Windows. Linux users should use Jan, Ollama, or Open WebUI instead.
Can both Jan and LM Studio use AMD GPUs?β–Ύ
Jan supports AMD GPU acceleration via ROCm on Linux. LM Studio supports NVIDIA only on Windows (no stable Linux release). On macOS, Apple Metal handles GPU acceleration for both apps regardless of GPU brand. For a terminal-based alternative on any OS, see Ollama vs LM Studio.
Which app has a larger model library?β–Ύ
LM Studio has a larger built-in model store with curated GGUF models you can browse and download in one click. Jan requires importing models from Hugging Face or another source.