LM Studio vs Ollama for chatting with your documents

LM Studio and Ollama both run AI models on your own computer for free, so you can chat with your documents without uploading them. Pick LM Studio if you want a full app to click through: it finds the right passages in long documents for you. Pick Ollama if you want something small and open source that other apps can use.

This guide compares them for one job: asking questions about your own files on a Mac. Both companies' details were checked on 9 October 2026, with LM Studio 0.4.26 and Ollama 0.40.2.

LM Studio vs Ollama at a glance

What each one is

LM Studio is a desktop app for Mac, Windows and Linux. You search for a model inside the app, download it with one click, and chat with it in a window that looks like ChatGPT. The app itself is closed source, but its command-line tool (lms), its Apple silicon engine and its developer kits are open source under the MIT license. In July 2026 the company also launched Bionic, a separate agent app; the classic LM Studio app carries on beside it.

Ollama is an open-source tool, under the MIT license, that downloads and runs models with short commands like ollama run. Since July 2025 it also has a Mac and Windows app with a chat window. It runs in the background and gives other apps a simple way to use your models, which is why so many apps list "works with Ollama".

Price and license

Running models on your own Mac is free with both. LM Studio has been free for work use since July 2025, with no separate commercial license; its terms allow personal and internal business use.

Both now sell optional cloud plans, which run bigger models on their servers instead of your Mac:

• LM Studio: Free, Bionic+ at $20 a month for cloud models, and Pro at $100 a month. Enterprise pricing is on request.
• Ollama: a free tier with starter credits, Pro at $20 a month (or $200 a year), Max at $100 a month, and Team and Enterprise plans.

You don't need any of these to chat with your documents privately. The cloud plans only matter if you want models too big for your Mac, and then your text does leave your computer.

What you need on a Mac

• LM Studio: a Mac with Apple silicon (M1 or later) and macOS 14 or later. Intel Macs aren't supported. LM Studio recommends 16 GB of memory or more; 8 GB works with smaller models.
• Ollama: macOS 14 or later. On Apple silicon it uses the graphics chip; on Intel Macs it runs on the processor only, which is much slower.

Memory decides which models you can run. As a rough rule, a small model of about 8 billion parameters is comfortable on 16 GB, and larger ones want 32 GB or more. Neither company publishes an exact table, so check each model's download size against your Mac's memory.

Which is easier to use

LM Studio is easier if you've never run a model before. Everything happens in one window: find a model, see whether it fits your Mac, download it, load it and chat. You can attach files, keep several chats, and export them.

Ollama's app is simpler and has fewer settings. You pick a model and chat, and you can drag in PDFs, text and code files. Downloading specific models and changing advanced settings is often quicker in Terminal, for example ollama pull qwen3:8b. If Terminal makes you nervous, start with LM Studio.

Speed on Apple silicon

Both are fast on M-series Macs because both now use MLX, Apple's own framework for machine learning on Apple silicon. LM Studio runs MLX models with its open-source MLX engine, and runs other models (in the GGUF format) through llama.cpp. Ollama added MLX as a preview in March 2026 and, since version 0.40 in September 2026, runs supported models on MLX by default; GGUF models still work.

In practice the model and your Mac's memory make a bigger difference than the app. The same model runs at a similar speed in either.

Chatting with your documents

This is where they differ most.

LM Studio lets you attach Word, PDF and text files to a chat. If a file fits in what the model can read at once (its context window), LM Studio adds the whole file to the conversation. If it's longer, LM Studio finds the passages that match your question and gives the model only those. That's called retrieval, and it means a long report or contract still works on a small model.

Ollama's app lets you drag PDFs, text and code files into a chat, plus images for models that can see. It puts the file into the conversation, so a long document needs a longer context. Ollama's docs say the default context is about 4,000 tokens on Macs with less than 24 GB of memory, which is only a few pages. You can raise it with the context length slider in Settings, but a longer context uses more memory.

Both work best with a few files attached to one chat. Neither is built to read whole folders, keep up with files as they change, or show you the exact sentence each answer came from, so check important answers against the file yourself.

Getting models

LM Studio searches Hugging Face, the largest public collection of models, from inside the app, and shows which versions fit your Mac. Ollama has its own library at ollama.com, with popular families like Qwen and Gemma ready to download with one command. Both libraries also list some cloud-only models, which run on the company's servers rather than your Mac.

For questions about documents, a recent model of about 8 billion parameters is a good start on a 16 GB Mac. Bigger models give better answers if you have the memory.

Using them with other apps

Both can run as a local server that other apps on your Mac talk to, using the same format as OpenAI's API:

• Ollama listens at localhost:11434 whenever it's running.
• LM Studio listens at localhost:1234 once you start its server, in the app or with lms server start. It can also run without its window, with a tool called llmster.

This is how document apps, note apps and coding tools use local models; for example, Obsidian AI plugins can use either one. The app sends the question and the passages, and the model on your Mac writes the answer.

Privacy and the cloud

With local models, both keep everything on your Mac. Ollama's FAQ says it doesn't see your prompts or data when you run models locally.

The cloud features are different. LM Studio's cloud models need an account with billing, and LM Studio says its cloud services keep no data. Ollama's cloud models and web search go through ollama.com; Ollama says cloud prompts aren't stored, logged or used for training. If your documents are confidential, stick to local models; our guide on pasting client files into ChatGPT explains why. In Ollama you can turn cloud features off completely with the OLLAMA_NO_CLOUD=1 setting.

Which should you choose?

• Choose LM Studio if you want an app you can click through, you're new to local AI, or you chat with longer documents directly in it.
• Choose Ollama if you're comfortable in Terminal, you want open source, you have an Intel Mac, or you mainly want another app to use your models.
• Consider AnythingLLM if you want one free app that both runs models and keeps a document library. See Citenook vs AnythingLLM.
• Try both if you're not sure. They're free, and they can sit side by side on the same Mac.

If you want answers from whole folders

LM Studio and Ollama run the model. To ask questions across hundreds of files, you also need something that reads your folders, finds the right passages and shows where each answer came from. Citenook is a Mac app that does that part: it reads the folders you pick, plus Apple Notes and Obsidian, and every answer links to the exact sentence it came from. It finds Ollama and LM Studio on your Mac and can use their models to write answers (on the Pro plans), or use Apple Intelligence or a model it downloads itself, so you don't need either app to start. It's free for 30 days. See how to chat with 1,000 PDFs offline on a Mac.

Questions

Sources, checked 9 October 2026: LM Studio system requirements, LM Studio chat with documents, LM Studio free for work, LM Studio pricing, LM Studio terms, LM Studio server, LM Studio changelog, Ollama on GitHub, Ollama on macOS, Ollama's app, Ollama context length, Ollama 0.40 (MLX by default), Ollama pricing, Ollama FAQ.

Related: Chat with 1,000 PDFs offline on a Mac · Citenook vs AnythingLLM · Can you use NotebookLM offline?