Ollama and LM Studio are the two most popular ways to run AI models privately on your own computer. Both are free for local use, both work on Mac, Windows and Linux, and both run the same open models. So which should you choose?
Here’s a simple side-by-side comparison.
Quick Answer
- Choose LM Studio if you want the easiest, most visual way to find and chat with local models.
- Choose Ollama if you want an open-source tool that connects easily to other apps, scripts and coding tools.
- Not sure? Install both. They’re free and can share the same computer.
Side-by-Side Comparison
| Feature | Ollama | LM Studio |
|---|---|---|
| Price for local use | Free | Free (home and work) |
| Paid options | Optional cloud plans (about $20 and $100/month) | Enterprise option |
| Open source | Yes | No |
| Ease for beginners | Easy | Easiest |
| Finding models | Ollama model library | Visual browser with hardware hints |
| Chat app | Yes | Yes |
| Local API for other apps | Yes, very popular with developers | Yes |
| Mobile access | Via other apps | Companion iPhone and iPad app |
| Platforms | Mac, Windows, Linux | Mac, Windows, Linux |
Features and prices change, so check each tool’s website for the latest details.
Ease of Use
LM Studio feels like a normal desktop app. You search for a model, it tells you which versions fit your computer, and you click download. Ollama also has a simple app now, but many of its strengths still shine through short commands like ollama run, which some beginners find less friendly.
Models and Performance
Both run the same popular open models, including Llama, Qwen, Gemma, Mistral and DeepSeek. Speed depends mostly on your computer: RAM, Apple M-series chips or a good graphics card matter far more than which app you pick. Check what your machine can handle in can your laptop run AI locally?
For Developers
Both offer a local, OpenAI-compatible API, so apps built for ChatGPT can switch to a local model by changing a web address. Ollama is the more common choice in developer tools and tutorials, and it can also connect to coding agents like Claude Code.
Privacy
When you run models locally, both keep your chats on your computer. Ollama’s optional cloud plans send prompts to its servers, so only use those when you’re comfortable with that.
Note: Features and policies may vary by plan, region and app version, and can change at any time. Check the official help center for the latest information.
Our Recommendation
- Total beginner: LM Studio.
- Developer or tinkerer: Ollama.
- Need very large models: Ollama’s cloud plans, or a cloud assistant like Claude or ChatGPT.
Read our full guides: What is Ollama? and LM Studio review.
Frequently Asked Questions
Are Ollama and LM Studio free?
Yes, both are free for running models on your own computer.
Which one is faster?
Speed is similar for the same model. Your hardware matters much more than the app.
Can I use both?
Yes. Just remember that models take up disk space in each app.
Do they work offline?
Yes, once a model is downloaded.
The Bottom Line
LM Studio is the easier start, and Ollama is the better fit for developers and automation. Both are free, private and worth trying. Explore more tools in our AI tools directory.
Related Guides
- What Is Ollama? How to Run AI Models on Your Own Computer (2026)
- LM Studio Review 2026: Run Local AI Models With a Simple App
- Can Your Laptop Run AI Locally? RAM, GPU and Model Size Explained
- What Is Claude Code? A Simple Guide for Non-Developers (2026)
Explore more in our AI Tools Directory hub.
Disclaimer: This article is for general information only and is based on details available at the time of writing. Prices, plans, features, release dates, policies and availability can change at any time and may vary by country. Please verify the latest information on the official website of the company or product mentioned before making any decision or purchase. Next DigiTech is an independent website and is not affiliated with or endorsed by the companies mentioned; all trademarks belong to their respective owners. We are not responsible for any loss or decisions made based on this content.
