LM Studio
Polished desktop app for local LLMsFree desktop app to discover, download and run local LLMs with a GUI, an OpenAI-compatible server and native Apple MLX acceleration.
- Maker
- Element Labs
- Founded
- 2023
- Pricing
- Free tier
- Last checked
- October 2026
Verdict
Free desktop app to discover, download and run local LLMs with a GUI, an OpenAI-compatible server and native Apple MLX acceleration.
Score breakdown
This agent leads its categoryPeople who want the easiest, most polished way to run local LLMs on a desktop — especially on Apple Silicon.
Key features
- In-app model browser to search and download GGUF and MLX models from Hugging Face
- Built-in chat UI and prompt playground for testing models
- Local OpenAI-compatible REST API server for app integration
- Apple MLX engine for accelerated inference on Apple Silicon (open source)
- llama.cpp engine for CPU/GPU inference on Windows, Linux and Intel Macs
- Headless `llmster` daemon for GUI-free server deployments
- Open-source `lms` CLI and official TypeScript and Python SDKs
- Parallel request handling with continuous batching (v0.4.0, 2026)
Strengths
- +Polished GUI with an in-app model browser makes downloading and running models genuinely easy
- +Free for both personal and commercial use (commercial use became free in July 2025)
- +Native Apple MLX engine delivers excellent performance on Apple Silicon
- +Built-in OpenAI-compatible local server, plus open-source `lms` CLI and Python/TypeScript SDKs
Weaknesses
- −The desktop app itself is closed source, which limits auditability
- −No Linux GUI — Linux is served only by the headless daemon
- −Performance is entirely hardware-dependent; big models need significant VRAM/RAM
- −No multi-user or access controls in the free tier (Teams/Enterprise plans are still emerging)
Overview
Overview
LM Studio, launched in 2023 by Element Labs, is a desktop application for discovering, downloading and running open-source LLMs entirely on local hardware. Where Ollama is a runtime, LM Studio is the polished end-user app: a graphical model browser pulls GGUF and MLX models straight from Hugging Face, a built-in chat window lets you test them, and a one-click local server exposes an OpenAI-compatible API for your own code. As of July 2025 it is free for commercial use too, removing the previous separate-license requirement.
On Apple Silicon, LM Studio’s native MLX engine (open source under MIT) is a standout, delivering strong throughput; on Windows and Linux it uses llama.cpp with GPU acceleration. The desktop app is closed source, but the surrounding tooling — the lms CLI, the MLX engine and the Python/TypeScript SDKs — is open. Linux users get a headless llmster daemon rather than a GUI.
Key Benefits
- Easiest on-ramp: The model browser and chat UI mean you can be running a capable model in minutes with no command line.
- Free, including for work: No usage fees or token costs, and commercial use is now free.
- Great on Apple Silicon: The native MLX engine makes M-series Macs first-class local-LLM machines.
- Developer-ready: An OpenAI-compatible server plus official SDKs let you build against local models without changing app architecture.
Use Cases
- Trying models quickly — Browse, download and chat with new open models without touching a terminal.
- Local API for apps — Run the built-in server as a drop-in OpenAI endpoint during development.
- Apple Silicon inference — Get high-throughput local inference on a MacBook via MLX.
- Privacy-first chat — Keep all conversations on-device for sensitive work.
Pricing
Checked October 2026 · USD- Full desktop app for personal and commercial use
- Unlimited local model downloads and inference
- OpenAI-compatible local server, CLI and SDKs
- Private artifact sharing (Teams)
- SSO, model and MCP gating, and admin controls (Enterprise)