LM Studio vs Ollama

Updated October 2026 · AppBreakup editorial

LM Studio

A desktop app for downloading and running open AI models locally, free for home and work.

Free plan + paid

Visit LM Studio LM Studio profile

Ollama

An open-source tool for running AI models locally, with a desktop app and optional cloud models.

Open sourceSelf-hostable

Visit Ollama Ollama profile

The short answer

Both run open AI models on your own computer for free. Pick LM Studio if you want a polished desktop app where you can search, download and chat with models without touching the terminal. Pick Ollama if you want an open-source engine with a local API that other apps, coding agents and interfaces such as Open WebUI already support. The key difference is a friendly closed-source app versus an MIT-licensed backend.

LM Studio or Ollama: our take

LM Studio is built for people who want to try local AI without fuss. You browse and download models inside the app, chat with them in a clean interface, and it handles model formats and hardware settings for you, using llama.cpp and Apple's MLX underneath. It can also serve models to other apps through a local API. Ollama started as a command-line tool and local server: one command downloads a model and exposes it through an API, and it now has a desktop chat app too, though that app is simpler than LM Studio's. Its strength is reach: a huge range of apps, agents and frameworks talk to Ollama, so it often sits behind another interface.

Running models locally costs nothing in either. LM Studio is free for home and work use, and its Bionic+ plan at $20/month adds cloud inference for its Bionic agent. Ollama offers cloud models through usage credits or Pro at $20/month and Max at $100/month. The licence differs: Ollama's core is open source under MIT, while the LM Studio app is closed source.

Both run on macOS, Windows and Linux, but LM Studio supports only Apple Silicon Macs, not Intel ones. Either way, local models need plenty of RAM, and a GPU helps on Windows and Linux. Because the models run on your machine, your prompts stay there unless you opt into the cloud features.

For non-developers who want to experiment with local models through a graphical app, LM Studio is the easier start. For developers who want a scriptable engine to plug into editors, agents and self-hosted chat front ends, or who prefer open-source software, Ollama is the better base. Many people install both, since they don't conflict.

Choose LM Studio if…

Anyone who wants to run open models privately on their own computer without the terminal
Easy model search, download and chat
Free for both personal and work use

Choose Ollama if…

Developers and tinkerers who want a local model engine that every other tool supports
You want open-source software
You need to host it on your own servers
You need Self-hosted, which LM Studio doesn't list
One-command model downloads and a local API

What is LM Studio?

LM Studio is a desktop app for running large language models on your own computer. It lets you search and download open models, chat with them in a clean interface and serve them to other apps through a local API, using llama.cpp and Apple's MLX under the hood. It has become one of the most popular ways for non-specialists to try local AI because it handles model formats and hardware settings for you. The newer Bionic agent adds document editing, coding and automation on top of local models, with optional US-hosted cloud models for heavier work. LM Studio is free for home and work use, and a Bionic+ subscription adds cloud inference. The app itself is not open source, and local models need a reasonably powerful machine: Apple Silicon Macs, or Windows and Linux PCs with plenty of RAM, ideally with a GPU. It runs on macOS, Windows and Linux.

What is Ollama?

Ollama is one of the most widely used ways to run open AI models on your own computer. It started as a command-line tool and local server that downloads a model with one command and exposes it through an API, and it now includes a desktop chat app and a large model library. Because so many apps, coding agents and frameworks support it, Ollama often acts as the engine behind other interfaces such as Open WebUI. Recent versions add cloud models for those without a powerful machine, billed through usage credits or Pro and Max subscriptions, and it can expose OpenAI- and Anthropic-compatible APIs. Running models locally is free. The chat app is simpler than dedicated interfaces such as LM Studio or Open WebUI, and getting the most from it still means some comfort with the terminal. The core project is open source under the MIT licence. It runs on macOS, Windows and Linux.

Side by side

Attribute	LM Studio	Ollama
Pricing	Free plan + paid	Open source
Open source	No	Yes
Self-hostable	No	Yes
Platforms	macOS, Windows, Linux	macOS, Windows, Linux, Self-hosted
Best for	Anyone who wants to run open models privately on their own computer without the terminal	Developers and tinkerers who want a local model engine that every other tool supports
Status	Active	Active

Verified facts, compared

Facts both apps publish, checked on each vendor's own site.

Fact	LM Studio	Ollama
Free plan	Yes, run local models	Yes, run models locally
Platforms	Mac (Apple Silicon), Windows, Linux	macOS, Linux, Windows