LM Studio

Short answer: LM Studio is the polished desktop app for running local LLMs on Mac, Windows, and Linux. Where Ollama is a CLI-and-server tool you operate with commands, LM Studio is a GUI you open and click around in. Best for solo desktop power users; especially strong on Apple Silicon via MLX.

What it is

LM Studio is a desktop application that bundles: a HuggingFace model browser, model downloader, inference engine (llama.cpp + MLX), chat UI, parameter tuner, and OpenAI-compatible local server. It's the single fastest way to go from "I want to try Qwen3" to "I'm chatting with Qwen3 on my laptop."

It's proprietary (not open source) but free for personal use and commercial use under 5 employees.

Why LM Studio dominates the desktop slot

1. Discovery UX - the in-app HF browser shows compatibility ("will this run on your GPU?") at a glance
2. MLX on Apple Silicon - significantly faster than GGUF on M-series; LM Studio defaults you to MLX when available
3. Server mode - flip a switch, get an OpenAI-compatible endpoint your other apps can use
4. Per-model parameter tuning - temperature, top-p, system prompt persisted per chat
5. Zero CLI - important if your work involves convincing PMs/designers to use local AI

Performance you'll actually see

On Apple Silicon (LM Studio's MLX shines here):

Hardware	Qwen3 8B (MLX Q4)	Qwen3 30B (MLX Q4)	Llama 3.3 70B (MLX Q4)
MacBook Pro M4 Max 64GB	~70 tok/s	~22 tok/s	~9 tok/s
Mac Studio M4 Ultra	~95 tok/s	~30 tok/s	~13 tok/s
Mac Mini M4 Pro 24GB	~45 tok/s	~12 tok/s	doesn't fit

On NVIDIA, LM Studio uses llama.cpp/CUDA - similar performance to Ollama.

How it compares

	LM Studio	Ollama	Jan	GPT4All
GUI	✓ desktop	✗ CLI	✓ desktop	✓ desktop
OpenAI API	✓	✓	✓	✓
Open source	✗	✓	✓	✓
MLX on Mac	✓ best	partial	✓	✗
Multi-user	✗	✗	✗	✗
Best for	solo desktop, exploration	servers, dev, deployment	open-source desktop	older / low-spec hardware

See Ollama vs LM Studio.

Frequently asked

Is LM Studio free for work?

Yes for organizations under 5 employees or personal use. Larger orgs need a commercial license (contact lmstudio.ai).

Should I use LM Studio or Ollama?

LM Studio for laptop/desktop exploration and chat. Ollama for headless servers, deployment, dev environments. Many people use both.

Does it support image / multimodal models?

Yes - Llama 3.2 Vision, Qwen2.5-VL, and other GGUF multimodal models work in 2026 builds.

Get started

Download from lmstudio.ai. Install. Open. Search "Qwen3" in the discover tab. Pick a quantization that fits your VRAM (the app shows compatibility). Click download. Click chat. Type.

To enable the API: Settings → Developer → Start Server → port 1234. Then any OpenAI-SDK client works with base_url="http://localhost:1234/v1".