LM Studio

Overview

LM Studio is an AI chat assistant, available on Windows, macOS and Linux.

Features described in its Flathub listing, on its official website and in Wikidata: local model execution, open-weight models (Llama, Mistral…), choice of several models and providers, chat with your documents.

Services and protocols mentioned: OpenAI and Hugging Face.

Overview written by LicitPro from the documentation published by the authors and the cited sources; we have not tried the resource ourselves.

At a glance

LM Studio offers a limited free plan; advanced features or heavier use are paid.

It is distributed under a proprietary licence: free to use under its terms, which may change; that licence is not an open source licence.

Plans and conditions

• Free plan: basic features are free; others are reserved for paid plans.
• Paid subscriptions from 20 $ per month (price read on the official page).

About

LM Studio is a desktop app for running large language models (LLMs) locally on your own computer. features Run Local LLMs Offline — Execute open-weight models entirely on your own device without cloud dependency. Cross-Platform Support — Available on Windows, macOS, and Linux. Model Discovery & Download — Browse and download GGUF/MLX models directly from Hugging Face. Built-in Chat Interface — Interact with local models through a clean ChatGPT-like UI. OpenAI-Compatible API Server — Serve local models via OpenAI-style REST endpoints for app integration. Document Chat (RAG) — Chat with local documents privately and offline. Model Management — Organize models, prompts, presets, and configurations in one place. Developer Tooling — Includes CLI, Python SDK, TypeScript SDK, and REST Headless Mode — Run LM Studio without GUI for servers or CI environments. MCP Integration — Connect MCP servers and external AI workflows. Privacy-First Design — Prompts and conversations stay on the local machine. Hardware-Aware Optimization — GPU offloading and memory controls for better performance on limited hardware. Multi-Model Support — Supports Llama, Qwen, Mistral, Gemma, Phi, DeepSeek, and more. Local Network Serving — Expose local models across devices on the same network.

Description from Flathub — AppStream (Flathub)