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Ollama

by Ollama (open source)·Visit site
4.7Setuproll editorial score

Ollama is a free, open-source CLI and server that runs open-weight LLMs locally on your Mac, Linux, or Windows machine. Install it, run 'ollama run llama3.2', and you have a fully offline model with an OpenAI-compatible API on port 11434. No account required.

Ollama is a free, open-source tool that lets you download and run open-weight models on your own machine with a single terminal command. It ships a local HTTP server that mirrors the OpenAI API, so any app that already speaks OpenAI can point at Ollama instead and keep all inference private and offline. The model library covers Llama, Mistral, Qwen, Gemma, and dozens of other families, and new releases typically appear within hours of their public drop. There is no account, no billing, and no internet requirement after the model downloads.

The simplest way to run open-weight LLMs locally on Mac, Linux, or Windows. Built by Ollama (open source), it is strongest as an AI models tool. You run it locally or self-host it and it is open source, so you can self-host or bring your own key. Reach for it when you need run local LLMs, model management, API server.

Specs

ProviderOllama (open source)
AccessLocal
PricingOpen SourceFree and open source
Open sourceYes
ContextModel-dependent
Best forRunning open-weight models locally with one command
Score4.7Setuproll editorial score
ReleaseActive, updated 2026

Pricing

Verified October 2026
Open SourceFree
Download models, run inference locally, and use the OpenAI-compatible API, all at no cost. No account required.

Ollama is free and open source under the MIT license. The only cost is the hardware it runs on and the electricity it draws. Some models require 8 GB of VRAM or more to run at a usable speed, so a dedicated GPU is the real cost to consider.

Full Ollama pricing breakdown

Capabilities

run local LLMsmodel managementAPI server

Tips from the floor

1

Reach for Ollama on run local LLMs before anything else.

2

Give the model management a real task before you judge it.

3

Self-host or bring your own key to keep costs near zero on heavy runs.

Learn Ollama

Start with the course closest to Ollama, then work through the tutorials below and the step-by-step how-to guides.

Tutorial videos·15

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Top 0 cover Ollama directly. The rest are related picks from the same space.

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