BotComparisons / LM Studio vs Ollama
LM Studio vs Ollama
LM Studio: Desktop app to download and run open AI models on your own computer, with a chat interface and a local OpenAI-compatible server. Ollama: Open-source (MIT) tool for running open AI models locally from the terminal or desktop app, with an API for your own apps and optional cloud models.
Side by side
| LM Studio | Ollama | |
|---|---|---|
| Category | Productivity | Productivity |
| Pricing | Free for local models; Bionic+ cloud plan $20/mo, Pro $100/mo | Free to run models locally; cloud models pay as you go or paid plans from $20/mo |
| Free tier | Yes | Yes |
| Pricing checked | 2026-10-28 | 2026-10-28 |
| Official site | lmstudio.ai | ollama.com |
| Good for | run ai offline, local llm, private ai chat, chat with documents | run ai offline, local llm, local ai api |
| Best pick in | 1 task guide | 0 task guides |
Facts from our tool database. Pricing changes often; confirm on each official site.
Where we compare them head to head
AI to run offline on your Mac
Our pick: LM Studio. Alternative: Ollama.
LM Studio lets you find, download and chat with open models in a point-and-click app, runs them with MLX or llama.cpp on Apple silicon, and its docs say it can work entirely offline once you have the model files. Running local models is free.
Choose Ollama instead when: Choose Ollama if you're comfortable in the Terminal or want a local API for your own scripts; it's open source (MIT), free for local use, and also runs on Intel Macs (CPU only), which LM Studio doesn't support.
LM Studio: what it is used for
- Chat with open models on your own computer, with no internet needed once the model files are downloaded.
- Find and download models from Hugging Face inside the app, then run them with llama.cpp (GGUF) or, on Apple silicon Macs, MLX.
- Chat with your own documents, fully offline.
- Serve local models to other apps over OpenAI-compatible endpoints, on your machine or your network; there is also an lms command-line tool and Python and JavaScript SDKs.
- Runs on macOS, Windows and Linux. On a Mac it needs Apple silicon (M1, M2, M3 or M4) and macOS 14.0 or newer; Intel Macs are not supported.
- 16GB or more of RAM is recommended on a Mac; 8GB Macs may work with smaller models and modest context sizes.
- Free plan ($0): run local models with llama.cpp and MLX, the Bionic agent, offline voice transcription and limited web search. Bionic+ ($20/mo) adds US-hosted open-source cloud models and web search; Pro is $100/mo.
Source: lmstudio.ai/docs/app, lmstudio.ai/docs/app/system-requirements, lmstudio.ai/pricing (checked 2026-10-28).
Ollama: what it is used for
- Run open models locally from the terminal or the Ollama desktop app.
- Call local models from your own scripts and apps through Ollama's API, which is compatible with OpenAI and Anthropic APIs.
- Switch to larger models in Ollama's cloud when your computer can't run them; cloud model names end in :cloud.
- Open source under the MIT license.
- On a Mac it needs macOS Sonoma (14) or newer; Apple M-series Macs get CPU and GPU support, Intel (x86) Macs run on the CPU only.
- Running models on your own hardware is free and unlimited. Cloud use is pay as you go, with paid plans from $20/mo.
- Ollama says cloud prompts and responses are never logged or used for training.
- Models can take tens to hundreds of GB of disk space.
Source: ollama.com, ollama.com/pricing, docs.ollama.com/macos, github.com/ollama/ollama (checked 2026-10-28).