Ollama and LM Studio are the two most popular free tools for running AI models locally on your computer. LM Studio is best for beginners — it’s a graphical app where you browse, download, and chat with models by clicking, no commands needed. Ollama is best for developers and integration — it’s a lightweight tool you run with simple commands, and it connects easily to other apps. Both are free, both run models like Llama and Mistral offline and privately, and they can even be used together. Choose LM Studio for ease, Ollama for flexibility.
If you want to run AI on your own computer — for privacy, cost, or offline use — two tools dominate the conversation: Ollama and LM Studio. They do the same core job of running open AI models locally, but they suit different people and approaches. Choosing between them (or deciding to use both) is one of the first decisions when getting into local AI. This guide compares them clearly, so you can pick the right one for how you want to work.
The core difference
The fundamental distinction is how you interact with each tool. LM Studio is a graphical application — you install it, browse a visual catalogue of models, click to download one, and chat in a window that looks like any messaging app. Everything is done with buttons and menus, and there’s no command line involved at any point. This makes it approachable for anyone, regardless of technical background, and it even tells you which models suit your computer’s hardware, removing the guesswork for beginners.
Ollama, by contrast, is a lightweight tool you primarily use through the command line — you type a short command like ‘ollama run llama3’ to download and chat with a model. While that sounds more technical, it’s actually very simple, and Ollama’s strength is how cleanly it runs in the background and connects to other software. It’s leaner, faster to script, and favoured by developers who want to plug local AI into their own apps and workflows. The choice largely comes down to graphical ease versus lightweight flexibility.
LM Studio: best for beginners
If you’re new to local AI or simply prefer a visual, no-fuss experience, LM Studio is the clear recommendation. Its graphical interface means you never touch a command, and its built-in model browser lets you discover and download models easily, with helpful labels showing which will run well on your machine. Chatting with a model happens in a clean window with saved conversations and easy switching between models, making the whole experience feel polished and familiar from the first minute.
This friendliness makes LM Studio ideal for people who want the benefits of local AI — privacy, offline use, no cost — without any technical hurdle. It handles the complexity behind a simple interface, so you can focus on using the AI rather than setting it up. For the majority of everyday users who want a private AI assistant on their computer and value ease above all, LM Studio is the tool that gets them there fastest and most comfortably, with nothing to learn beyond clicking and typing your questions.
| LM Studio | Ollama | |
|---|---|---|
| Interface | Graphical app | Command line (+ optional GUIs) |
| Best for | Beginners, ease of use | Developers, integration |
| Model browsing | Built-in visual catalogue | Command to pull models |
| Integration | Basic | Excellent with other apps |
| Cost | Free | Free |
Ollama: best for flexibility and integration
Ollama shines when you want local AI to be part of a larger setup rather than just a standalone chat window. Because it runs lightly in the background and exposes a standard connection, a huge range of other apps — chat interfaces, coding tools, note-taking apps, browser extensions — can talk to it easily. Developers and tinkerers love it for this: you can build local AI into your own projects, scripts, and workflows with minimal effort, which the more self-contained LM Studio isn’t designed for.
Despite its command-line nature, Ollama is genuinely simple to use for basic chatting, and if you want a graphical window on top of it, free apps can provide one while Ollama does the work underneath. Its efficiency and flexibility make it the choice for anyone who’s comfortable with a command or two and wants their local AI to integrate with other software. For power users and developers, Ollama’s lightweight, connectable design is exactly what they want, offering flexibility that a closed graphical app can’t match.
LM Studio and Ollama aren’t mutually exclusive — many people use LM Studio to browse and try models through its catalogue, and Ollama to run their favourites in the background for other apps. They can even share downloaded models, so there’s no need to pick just one.
Which should you choose?
For most people, the decision is straightforward. If you want the easiest possible experience with a familiar graphical interface and no commands, choose LM Studio — it’s the friendliest way into local AI and covers everything a typical user needs. If you’re a developer, or you want to integrate local AI with other tools and don’t mind a command or two, choose Ollama for its flexibility and lightweight design. Neither is better in absolute terms; they’re optimised for different priorities.
And because both are free and can coexist, you don’t have to commit permanently. A common approach is to start with LM Studio for its ease, then add Ollama later if you find you want integration with other apps. Trying both costs nothing but a little disk space, and using LM Studio to discover models while running them through Ollama for integration is a popular combined workflow. Whichever you start with, you’ll have capable, private, offline AI running on your own computer for free.
FAQ
Is Ollama or LM Studio better?
Neither is universally better — LM Studio is best for beginners wanting a graphical, no-command experience, while Ollama is best for developers wanting a lightweight tool that integrates with other apps. Choose based on whether you value ease or flexibility.
Do I need to know how to code to use them?
Not for LM Studio, which is entirely graphical. Ollama uses simple commands but requires no real coding for basic use, and free graphical apps can sit on top of it. Both are accessible to non-programmers.
Are both free?
Yes, both Ollama and LM Studio are completely free, as are the open models they run. Your only costs are the disk space models occupy and the electricity to run your computer.
Can I use both at the same time?
Yes. Many people use LM Studio to browse and try models and Ollama to run them in the background for other apps. They can share downloaded models and coexist on the same computer without conflict.
Getting started with your choice
Whichever tool you choose, getting started follows the same simple path: install the application, download a model that matches your computer’s memory — a seven-to-eight-billion-parameter model is ideal for 16GB of RAM — and start chatting. With LM Studio you’ll do this entirely through its interface; with Ollama you’ll type a short command to pull and run your first model. Either way, within about ten minutes you’ll have a private, offline AI assistant running on your own hardware for free.
From there, experiment to find your preferences: try a few different models to see which suits your tasks, and if you started with one tool, there’s no harm in installing the other later to compare or combine them. Because everything is free and they can share models, exploring costs only a little disk space. The important thing is simply to begin.
There’s no wrong choice
Ultimately, both Ollama and LM Studio are excellent, actively developed, and free, so you genuinely can’t make a bad choice between them. If you pick one and later wish you’d chosen the other, switching or adding the second takes minutes and loses you nothing. This low-stakes decision shouldn’t hold you back — the far more important step is simply starting with local AI at all, and either tool gets you there. Pick the one that matches how you like to work, and adjust later if you ever feel the need.
Whichever route you take, you’ll join the growing number of people running capable AI privately on their own machines — free, offline, and answerable to no one but you, which is a genuinely liberating way to use the technology.
The Bottom Line
Ollama and LM Studio are both excellent free tools for running AI locally, differing mainly in approach. Choose LM Studio for the easiest, most beginner-friendly experience — a graphical app with no commands and a built-in model browser. Choose Ollama if you’re a developer or want lightweight flexibility and integration with other tools. Both run models like Llama and Mistral privately and offline at no cost, and since they can be used together and share models, you’re free to start with one and add the other. For most people, LM Studio is the easiest start; for tinkerers, Ollama is the more powerful choice.