Why Use Local AI Tools Instead of ChatGPT or Copilot?

Short answer: Use a local AI tool when you want your prompts to stay on your own computer, to keep working offline, to choose and customize the model, or to avoid a recurring subscription. Use ChatGPT or Copilot when you want no local model setup and built-in hosted features such as search and file tools. Local tools trade convenience for privacy and control.

1. Your prompts stay on your device

With a hosted service, your text is sent to the provider’s servers and handled under that provider’s retention and training rules (see who can see your ChatGPT history). A local tool runs the model on your own machine. Ollama describes this as running open models locally with complete privacy, and LM Studio describes itself as natively local, with models downloaded and run inside the app. LM Studio’s documentation says chat, document chat and the local server can work offline once models are downloaded. That makes local tools a sensible choice for confidential drafts, source code or personal notes. Note that the privacy benefit applies to local use only; both products also offer cloud options (see the Ollama FAQ), so check which mode you are using.

2. It works offline

Once a model is downloaded, you can use the app without a connection, although searching for and downloading models and updates needs one. That helps on flights, in places with poor service, or when a hosted service is down.

3. You choose and customize the model

Hosted assistants give you the models the vendor offers. Local tools let you pick from many open models, switch between them, and adjust settings such as the system prompt (see Ollama’s Modelfile documentation). Sites such as Hugging Face host open models you can download. Support for customization varies by model.

4. You may not need a subscription

LM Studio and Ollama can be used locally without a paid plan (see LM Studio’s pricing page), but running a model still costs you hardware and electricity. Whether that saves money depends on your computer and how much you use AI; a machine that cannot run a good model comfortably will not pay off. Check the current plan prices on the ChatGPT pricing page and Microsoft’s Copilot pages before comparing, since plans change.

5. You control updates and availability

Model files stored on your machine do not change unless you replace them, and you can keep working if a cloud provider has an outage, as long as the files and software stay local. Licenses and the app’s own terms still apply. The flip side is that you are responsible for updates and for choosing models that fit your hardware.

What are the trade-offs?

• Quality: Results depend on the specific model and your hardware, so test a local model on your own tasks before relying on it.
• Hardware: Memory and speed requirements depend on the model’s size and quantization; see LM Studio’s system requirements. Test with a small model first.
• Features: Hosted products such as ChatGPT and Claude list built-in search, file tools and integrations; a local setup may need extra tools for the same jobs.
• Setup: Installing a tool and downloading a model takes some time and disk space.

How do you get started?

1. Install a local runner such as Ollama or LM Studio.
2. Download a small, current open model first, and check that it runs at an acceptable speed on your computer.
3. Move to a larger model only if your hardware handles it.
4. Keep a hosted assistant for tasks where its features help, and use the local one for private material.

Bottom line

Local AI is not a replacement for every task. It is a good fit when privacy, offline use or control matter to you; compare it with a hosted assistant on your own tasks and keep whichever fits, or both.