Transcription
China just dropped a free AI model and it's beating models that cost 10 times more. It codes, it thinks, it reads images and you can run it on your own computer right now. This thing is absolutely wild and by the end of this video, you're going to know exactly why everyone in the AI space is losing their mind over it.
Qwen 3.6 is one of the most exciting free AI models I've seen in a long time. By the end of this video, you're going to know exactly what it is, why it matters and how to start using it to automate your business today.
Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment, so make sure you comment below.
So, Qwen 3.6 is a brand new open-source AI model from Alibaba and it is completely free. Here's what makes it special. Most AI models are massive. They use a ton of computing power, they're slow and they cost a lot to run. Qwen 3.6 uses something called a mixture of experts architecture and here's the simple way to think about it. Imagine a team of specialists sitting in a room. When you ask a question, only the experts who actually need to answer it wake up and do the work. The rest stay quiet. The full model is 35 billion parameters, but it only activates 3 billion at a time. So, you're getting big model brain power at a fraction of the cost and speed. That is a massive deal, especially if you're running AI tools for your business without a huge budget. And the Qwen family as a whole has crossed over 1 billion downloads. This isn't some random side project. This is Alibaba going all in on open-source AI and giving the world access to something genuinely powerful for free.
Let me walk you through what Qwen 3.6 actually does because this is where it gets really exciting. First up is the 260,000 token context window. That means you can feed it an entire book, a massive research report, a full code base and it won't lose track. It holds everything in its head at once. For anyone running content pipelines, doing research or managing large projects, this is a game-changer.
Second is agentic coding. This model is built for real software tasks, not just toy examples. We're talking front-end development, working across full repositories, building and shipping actual code. If you've ever wanted an AI that can actually help you build tools for your business without you needing to be a developer, this is the one to pay attention to.
Third is thinking preservation. This is something most models completely miss. When you're doing a complex multi-step task, a normal AI kind of forgets its own reasoning as the conversation goes on. Qwen 3.6 keeps its chain of thought across messages. It remembers how it was thinking three steps ago. That makes it incredibly stable for agent workflows where you need it to stay on track across a long task.
Fourth is multimodal image analysis. You can drop in an image and it will understand it, describe it, reason about it and use that information in whatever task you're working on.
Real quick, before we go further, if you're watching this and thinking, "Okay, this is cool, but how do I actually apply this stuff to grow my business?" That's exactly what we do inside the AI Profit Boardroom. It's a private community where we go deep on tools like Qwen 3.6, build real automation systems and show you step-by-step how to use AI to save hours every week and scale faster. We're constantly dropping new workflows, tutorials and live sessions specifically around AI tools that are changing the game right now. If you want to learn how to build automation systems using free models like this one, the link is in the description. Come check it out.
Now, here's one of the most practical features in Qwen 3.6. It has two modes, thinking mode and fast mode. In thinking mode, the model slows down and reasons step-by-step like a human working through a hard problem. In fast mode, it just gives you a quick, direct answer. So, when do you use each one? Fast mode is great for simple tasks, quick answers, basic content generation. Thinking mode is where you want to go when you're running something complex like building a full automation workflow, debugging a system or planning a multi-step business process.
Here's a practical example. Say you want to use Qwen 3.6 to build a lead generation research agent for the AI Profit Boardroom. You'd prompt it in thinking mode, "You are a business research agent. Research the top pain points of entrepreneurs who want to use AI to grow their business. Identify the five biggest problems they face and write a detailed breakdown of each one with a suggested automation solution." In thinking mode, Qwen 3.6 will walk through that step-by-step, reason about it carefully and give you a structured output that's actually useful. That's the power of having a model that can genuinely think, not just predict the next word.
Let me show you what this looks like in practice because this is where it gets really tangible. Imagine you want to build a content pipeline for the AI Profit Boardroom. You could prompt Qwen 3.6 with something like, "Act as a content strategist. Create a 30-day content calendar for an AI automation community called the AI Profit Boardroom. Include YouTube video ideas, LinkedIn posts and weekly email topics. Focus on practical AI tools, automation workflows and business growth." And it will produce a full, detailed, usable calendar right there. No ChatGPT subscription needed, no API costs, just a free local model running on your machine.
Or let's say you want to build a landing page for the AI Profit Boardroom. You tell it, "Design the copy for a landing page for the AI Profit Boardroom. The goal is to convert entrepreneurs who are curious about AI automation. Highlight the community benefits, the tools we teach and why joining now is the smartest move for anyone building a business with AI." It will write you conversion-focused copy, structured and punchy, ready to hand off to a designer or drop straight into your funnel. This is the kind of practical business use that makes Qwen 3.6 different from just a cool demo. It's a tool you can actually plug into your workflows right now.
Getting started is genuinely easy. The fastest way is through Ollama. You just open your terminal and type Ollama run Qwen 36. That's it. It downloads the model and runs it locally on your machine. No cloud cost, no subscriptions, no data being sent anywhere. You can also find it on Hugging Face by searching Qwen/Qwen3.6-35B-A3B or access it for free through OpenRouter if you want a quick browser-based test without any setup. It's also available on GitHub under QwenLM/Qwen36 if you want to dig into the technical side. The whole thing is released under Apache 2.0, which means you can use it commercially, you can build products with it, run it in your business, integrate it into your tools, all for free.
Here's the big picture. We are at a point where the gap between paid AI and free AI is closing fast. A few months ago, if you wanted a model that could reason, code, handle images and run complex agent workflows, you were paying for GPT-4 or Claude or Gemini. Now you have Qwen 3.6 doing all of that for free, running locally with a 260K context window and commercial licensing. For businesses, for creators, for anyone building with AI, this changes the math completely. You don't need a massive budget to build powerful AI systems anymore. You just need to know which tools to use and how to use them, which is exactly why staying plugged into communities and resources like this matters so much right now.
If you got value from this video, here's what to do next. First, go try Qwen 3.6 today. Run it locally with Ollama, test it on OpenRouter, feed it a real business prompt and see what it does.
Second, if you want to go deeper and build real automation systems for your business using tools like this, come join the AI Profit Boardroom. We break down exactly how to use the best AI tools, build workflows that save you hours and stay ahead of every major release like this one. The link is in the description.
And if you want the full process, SOPs and over 100 AI use cases like this one completely free, join the AI Success Lab. It's our free community of over 67,000 members who are all building with AI right now. You'll get the full video notes, access to templates and a community of people who are actually doing this stuff in their businesses. Links are in the comments and description. See you in there.