Best Tools to Run LLMs Locally: Top 5 for Developers

By Suraj Kamdev · 2026-10-16 · 2 min read

Running a model on your own machine means no API bill, no rate limits and no data leaving your laptop. The catch is hardware: small models run fine on a modern laptop, while bigger ones want a lot of RAM or a strong GPU. Local models also trail the best cloud models on hard coding tasks. If that trade works for you, these five tools make it easy.

The top 5 tools for local LLMs

1. Ollama: best for developers

Ollama runs open models on macOS, Windows and Linux with a single command, and exposes a local API your apps can call. Pull a model, then point your script or agent at localhost instead of a paid endpoint. The local app is free; Ollama also sells cloud plans, listed from $16.67/mo on its pricing page.

Verdict: the default for anyone who writes code. The command line is the main interface, which some people will not enjoy.

2. LM Studio: best desktop app

LM Studio gives you a desktop app to browse, download and chat with models, plus a local server. It now also ships an agent called Bionic. Free to use, with paid plans listed on its pricing page.

Verdict: the friendliest way to compare models side by side. Less scriptable than Ollama for automated pipelines.

3. Jan: best open-source ChatGPT replacement

Jan is an open-source alternative to ChatGPT that runs models locally in a clean chat interface.

Verdict: ideal for people who want private chat and nothing more. Fewer developer features than Ollama or LM Studio.

4. GPT4All: best for modest hardware

GPT4All from Nomic focuses on running local LLMs on everyday devices, including chatting with your own documents.

Verdict: a good entry point on an older laptop. Expect smaller models and slower answers.

5. Open WebUI: best self-hosted interface

Open WebUI is a self-hosted chat interface that works with Ollama and OpenAI-compatible APIs. Run it on a home server and your whole household or team gets a private chat app.

Verdict: the best front end once Ollama is running. It is not a model runner itself, so you still need one underneath.

Which setup should you pick?

Developers: Ollama plus Open WebUI. Non-coders: LM Studio or Jan. Older hardware: GPT4All. When you need more power than your laptop has, a router like OpenRouter gives cheap access to the same open models in the cloud; see our OpenRouter guide and the AI API pricing guide. Hosted options are ranked in AI APIs and models, and local-friendly MCP servers are on Agent Tools.

FAQ

What is the easiest way to run an LLM locally?

LM Studio or Jan if you want a desktop app, Ollama if you are comfortable with a terminal.

Do I need a GPU to run a local LLM?

Not for small models, which run on a modern CPU or Apple Silicon. Larger models run much faster with a strong GPU and plenty of memory.

Can I use a local model with my coding agent?

Often yes. Many tools accept an OpenAI-compatible endpoint, and Ollama and LM Studio both provide a local server.