LM Studio suits people who want a desktop app with a chat window, a model browser and point-and-click settings for running AI models on their own computer. Ollama suits developers who want a lightweight, open source tool driven from the command line and a local API, with the option of cloud models when your machine isn't powerful enough. Both run open models like Llama, Qwen and DeepSeek locally and both can be used for free.
Both tools let you run large language models on your own machine, so your prompts don't have to leave it. I read LM Studio's home, docs, system requirements and plans pages, and Ollama's home page, GitHub README and docs.
LM Studio and Ollama compared
| LM Studio | Ollama | |
|---|---|---|
| Main interface | Desktop app with chat window | Command line plus local API |
| Licence | Free plan (app) | Open source, MIT licence |
| Model engines | llama.cpp and Apple MLX | llama.cpp backend |
| APIs | Local REST API, OpenAI-compatible endpoints | REST API on port 11434, OpenAI and Anthropic compatible |
| Headless use | llmster runs without the app | Runs as a background service |
| Cloud option | Paid Bionic+ adds US-hosted models | Cloud models without a local GPU |
| Offline | Can run entirely offline | Local models run on your machine |
Check your hardware before anything else
LM Studio's system requirements page is blunt about Macs: you need Apple Silicon and macOS 14 or newer, and Intel-based Macs aren't supported. It recommends 16GB+ RAM, says 8GB Macs should stick to smaller models, and on Windows asks for AVX2 support, 16GB of RAM and at least 4GB of dedicated VRAM.
Ollama's answer for weaker machines is its cloud models, which its docs say run without a local GPU, while its home page says your prompts are never stored or trained on.
Why people choose LM Studio
LM Studio is the friendlier start. You search and download models from Hugging Face inside the app, chat with them, attach documents and connect MCP servers, then serve the same model on OpenAI-like endpoints for your own apps. It runs Apple's MLX models on Apple Silicon, ships Python and TypeScript SDKs and an lms command line tool, and its newer Bionic agent can edit documents and help with code.
Why people choose Ollama
Developers tend to favour Ollama. It's MIT-licensed with 184.4k GitHub stars, you start a model with one command, and it exposes a REST API that works with OpenAI and Anthropic clients. Ollama says it sees 9M+ installs a month and 1B+ model downloads, and its README lists a long run of community apps built on top of it.
Which questions decide it for you
- Do you want a chat window, or will you mostly call a local API from code?
- Is your Mac an Intel model? If so, LM Studio won't run on it.
- How much RAM and VRAM do you have for the model sizes you want?
- Do you need a cloud fallback for bigger models?
- Does an open source licence matter to your company?
For step-by-step setup, see my guides on how to use LM Studio and how to use Ollama.
Using them with coding agents
Both now plug into AI coding tools. LM Studio's docs list integrations with Codex, Claude Code and OpenClaw, plus LM Link to route local AI work across your own devices. Ollama's docs say you can connect Claude or ChatGPT on your desktop, or launch a coding agent from your terminal, using local or cloud models.
My advice on LM Studio or Ollama
If you're not a developer and want to try local AI this afternoon, install LM Studio and pick a small model first. If you're wiring a local model into an app, script or coding agent, start with Ollama for its open source licence and simple API. Plenty of people run both: LM Studio to explore models, Ollama to serve them.
Do you make local AI or LLM tools? Tool makers can ask to be considered for a featured place in comparisons like this one.
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Frequently asked questions
Is LM Studio free?
Yes. LM Studio's plans page lists a Free plan for running local models on your machine; paid plans add US-hosted cloud models.
Is Ollama open source?
Yes. Ollama's GitHub repository is published under the MIT licence.
Does LM Studio work on Intel Macs?
No. LM Studio's system requirements say Intel-based Macs aren't currently supported; you need Apple Silicon and macOS 14 or newer.
Can Ollama run without a GPU?
Ollama's docs say its cloud models run without a local GPU. Local models run on your own hardware.
Do LM Studio and Ollama work offline?
LM Studio says it can operate entirely offline once you've downloaded model files. Ollama's local models also run on your own computer.
Can I use them with OpenAI code?
Yes. LM Studio offers OpenAI-compatible endpoints, and Ollama says its API works with OpenAI and Anthropic clients.
Which models can I run in LM Studio or Ollama?
LM Studio's docs name gpt-oss, Llama, Qwen, Mistral and DeepSeek R1. Ollama's README uses Gemma 4 as its example and links to its full model library.
