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Is Qwythos 9B the most powerful, free, private local AI model available?

Julian Goldie Agency29 June 2026Watch on YouTube

Part of series

Ep. 1 · Qwythos 9B: Lokale AI

Uitgebreide reviews en praktijkgidsen voor het lokaal draaien van Qwythos 9B als privé, gratis AI-codemodel via Ollama.

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Description

Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about Free SEO Strategy Session 👉 https://go.juliangoldie.com/strategy-session?utm=AIPB Get a FREE AI Course + Community + 1,000 AI Agents 👉 https://www.skool.com/ai-seo-with-julian-goldie-1553/about Qwythos 9B is shifting the local AI landscape by offering a Claude-style reasoning experience that runs entirely offline via Ollama. Built on the Qwen 3.5 architecture, this model is remarkably lightweight at just 5.6GB, making it significantly smaller than alternatives like Gemma 12B. It features native tool and function calling, allowing it to write code for everything from simple clocks to Snake games and landing pages directly on a Mac. While the massive context window can occasionally behave inconsistently during heavy tasks, the combination of privacy, offline performance, and agent-ready capabilities makes it a standout choice for those looking to run powerful AI models without cloud dependency or token costs. #LocalAI #Qwythos9B #Ollama #AIModel #CodingAI #PrivateAI

What you'll learn

  • Qwythos 9B is a local AI model that runs entirely offline via Ollama with Claude-style reasoning and no cloud dependency
  • At just 5.6GB, it is significantly lighter than alternatives like Gemma 12B
  • The model supports native tool and function calling, enabling it to write code directly for applications like clocks, Snake games, and landing pages
  • Local AI offers privacy benefits because data stays offline and no token costs are incurred
  • The model features an exceptionally large context window, though it can occasionally behave inconsistently during heavy tasks

Frequently asked questions

What makes Qwythos 9B different from cloud-based AI models?
Qwythos 9B runs entirely offline via Ollama on your own computer, offering privacy benefits since data stays local and no token costs apply. It delivers Claude-style reasoning and tool calling without cloud dependency.
How large is Qwythos 9B and does it fit on standard devices?
Qwythos 9B weighs only 5.6GB, making it significantly lighter than competitors like Gemma 12B and easy to run on a Mac or other device.
What tasks can Qwythos 9B perform with its tool calling capability?
The model can write code directly for various applications, such as simple clocks, Snake games, and landing pages, thanks to native tool and function calling support.
Are there limitations to Qwythos 9B you should know about?
The very large context window can occasionally behave inconsistently during heavy tasks, so it is not always equally reliable for the most demanding workloads.

Topics

local-aimodel-reviewqwythosopen-sourceprivacy