GLM 4.7: This NEW Chinese AI is INSANE (FREE!) 🤯

A brand new AI just dropped that beats GPT and Claude on almost every benchmark. And here's the crazy part. It's completely free to use. I'm talking about GLM 4. 7 from China. This thing destroys the competition on coding and math tests. And I'm going to show you exactly how to access it for free and use it to grow your business. Let's dive in. Right. So, something massive just happened in the AI world. December 22nd, 2025, a Chinese company released GLM 4. 7. And this model is absolutely crushing the competition. I'm talking about beating GPT5, beating Claude Sonet 4. 5, and sometimes even beating Gemini on real benchmarks. Not some fake marketing numbers, actual coding tests, math problems, agent tasks. And the best part, you can use it completely free. No credit card, no weight list, no I'm going to show you the benchmarks first, then we'll test it live, and then I'll give you three different ways to access it for free. So stick around because this is going to change how you use AI. 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 and let me know what you think.

Let's start with the numbers because numbers don't lie. GLM 4. 7 scored 95. 7% on AM 2025. That's the American Invitational Mathematics Examination. This is elite level math. College Olympiad stuff. GPT5. 1 scored 94%. Gemini 3. 0 Pro scored 95%. GLM 4. 7 beat them both. Now, let's talk about coding. SWEBench verified is the gold standard for testing if AI can actually fix real GitHub issues. Real world coding problems, not toy examples. GLM 4. 7 scored 73. 8%. Claude SA 4. 5 scored 77. 2%. GPT 5. 1 high scored 76. 3%. So Claude and GPT are slightly ahead here. GLM is right behind them. And remember GLM is free. Let's keep going. Live Codebench version 6. This tests if AI can write code that actually works. GLM 4. 7 scored 84. 9%. Gemini 3. 0 Pro scored 90. 7%. GPT5 high scored 87%. Again, GLM is competitive. Not always number one, but down close. And here's where it gets interesting. on to squared bench which tests agent tasks. GLM scored 87. 4%. Gemini got 90. 7%. Claude SA 4. 5 got 87. 2%. GLM literally beat Claude on agent tasks. And there's one more benchmark that's crazy. HLE with tools. This tests how well AI can use external tools and APIs. GLM scored 42. 8%. Kim K2 scored 44. 9%. GPT 5. 1. high scored 42. 7%. So GLM is right there with the best models in the world. Now, here's what makes this insane. GPT5 is expensive. Claude is expensive. Gemini has limits. GLM 4. 7 is free, completely free, and it's open source. You can download the weights right now and run it locally if you want, or you can use it through free platforms. I'm going to show you exactly how in a minute. But first, let me tell you what this model can actually do because the benchmarks are one thing. Real world usage is another. All right. So, if you're watching this video, you're clearly interested in using AI to save time and grow your business. And that's exactly what we teach inside the AI profit boardroom. This is our premium community for entrepreneurs and business owners who want to automate everything with AI. We have over 100 AI use cases already mapped out. things like automating your email marketing, building AI chat bots for customer service, using AI to create high converting landing pages, setting up AI agents to generate leads while you sleep, and we're constantly adding new tools like GLM 4. 7 to our library. Inside the boardroom, you get full video breakdowns of every tool, step-by-step SRPs you can follow, and access to a community of business owners who are crushing it with AI. Join the AI profit boardroom. Link is in the description.

GLM 4. 7 has a 200,000 token context window. That's massive. You can feed it entire code bases, long documents, huge amounts of data, and it can output up to 128,000 tokens. That means it can write entire applications in one response. It also has something called interled thinking and preserved thinking modes. This is advanced reasoning. The model can break down complex problems step by step. It can plan out a solution before executing it. This makes it incredibly stable for multi-step tasks. Things like building full stack applications, creating complex automations, solving difficult math problems. The model also supports agentic coding. That means it can handle endto-end development. You give it a task and it figures out all the steps needed to complete it. It writes the code, tests it, fixes bugs, and iterates until it works. It can also do multimodal interactions. So, it understands images, documents, and text all together. And it has high quality UI generation. You can ask it to build a landing page and it'll create something that actually looks good. No manual tweaking needed. Plus, it supports streaming tool calls and function calling. That means it can integrate with external APIs in real time. Now

let me show you how to actually access this thing because that's what you're here for. I'm going to give you three methods. One for casual use, one for developers, and one for unlimited API access. Method one, hugging face. Go to huggingface. co. Search for Zyog/GLM4. 7. You'll see the model page. There's a demo box on the right side. You can start chatting immediately. No sign up required. Just type your prompt and hit enter. I tested this earlier. I asked it to create a content calendar for the AI profit boardroom. Something that would help us attract more members interested in AI automation. The output was incredible. It gave me a full 30-day plan with daily post ideas, email sequences, and even suggested video topics for YouTube. Each day had a specific theme tied to AI automation for businesses. Things like how to automate customer support, how to use AI for content creation, how to build AI agents for lead generation. Every single piece of content was designed to show the value of the AI profit boardroom community. It even included call to action templates that naturally mentioned our resources like check out the AI profit boardroom for more automation strategies like this or join the AI profit boardroom to get step-by-step guides on setting this up. The whole thing felt natural, not salesy, just genuinely useful content that would attract the right people. And it took about 30 seconds to generate. That's the power of GLM 4. 7. You can literally grow your business faster with better content in less time. But wait, I'm going to show you something even cooler in a second. Method two, model scope. If you want to run GLM 4. 7 locally on your own computer, you can download the weights from model scope. Go to modelscope. cn. Search for GLM4. 7. Download the model files. You'll need a decent GPU to run this. At least 24 gigs of VRAMm. But if you have the hardware, you can run it with VLM or SG lang. This gives you complete control. No rate limits, no data being sent to external servers. Everything runs on your machine. This is perfect if you're working with sensitive data or if you just want total freedom. Method three, puter. jsoxy. This is the hack for unlimited free API access. Go to developer. pwer. com. They have a tutorial on setting up free unlimited access to the ZAIG GLM API. Basically, Puter acts as a proxy that gives you free access to the official API. No rate limits, no credit card. Just follow their setup guide. It takes about 5 minutes. You'll need to install their SDK and configure it with your project. But once it's done, you have unlimited access to GLM 4. 7 through API calls. This is insane for developers. You can build entire applications powered by GLM without paying a scent.

Now, let me show you some real world examples of what you can do with this because theory is cool, but results are better. Example one, automating content creation. Let's say you run the AI profit boardroom and you need to create five blog posts per week about AI automation. You're busy. You don't have time to write everything yourself. You can use GLM 4. 7 to generate outlines, first drafts, and even final polished articles. I tested this. I gave it this prompt. Write a blog post for the AI profit boardroom about how small businesses can use AI to automate their sales process. Make it 1500 words. Include specific tools and strategies. Make it actionable. The output was phenomenal. It gave me a full blog post with an intro, five main sections, and a conclusion. Each section had specific tools mentioned. things like using AI chat bots to qualify leads, using AI email sequences to nurture prospects, using AI analytics to predict which leads are most likely to convert. It even included step-by-step instructions on how to set up each automation, and the writing was good. Not robotic, not generic, actually useful. I could publish that article right now with minimal editing. That's a 30inut task done in 30 seconds. Example two

building landing pages. Let's say you want to create a new landing page for the AI profit boardroom. Something that converts visitors into members. You need copy. You need design ideas. You need a clear value proposition. I asked GLM 4. 7 to do this. I said, create a high converting landing page for the AI profit boardroom. Focus on the benefits of AI automation for business owners. Include a headline, sub headline, three benefit sections, social proof, and a strong call to action. It gave me everything. The headline was, "Grow your business faster with AI automation, no tech skills required. " The sub headline explained that we teach busy entrepreneurs how to save 10 plus hours per week using AI. The three benefit sections covered time savings, cost reduction, and competitive advantage. Each section had bullet points with specific outcomes like automate your email marketing in under an hour. Use AI to create content that ranks on Google. Build AI chat bots that handle customer questions 24/7. The social proof section suggested adding testimonials from members who've saved time. And the call to action was clear. Example three, creating YouTube video scripts. Oh, wait. That's what I'm doing right now. I use GLM 4. 7 to help structure this entire video. I gave it the research document, told it to create a script in Julian Goldie style, and it nailed it. So yeah, you're literally watching proof that this works. Now, here's why this

matters for you. Every business needs content. Every business needs marketing. Every business needs to communicate with customers and AI can automate all of it, but most people are still using expensive tools like ChatGpt Plus or Cloud Pro. Meanwhile, GLM 4. 7 is sitting here for free, performing just as well, sometimes better, and almost nobody knows about it yet. That's your advantage. If you start using this now, you're ahead of 99% of people. You can create more content, build better products, and automate more tasks than your competitors, all without spending a dime. And if you're serious about using AI to grow your business, you need to join the AI profit boardroom because we don't just tell you about tools like GLM4. 7. We show you exactly how to use them step by step. We give you the prompts, the workflows, and the SOPs, everything you need to actually implement this stuff. We have over 38,000 members who are crushing it with AI right now. People who are automating their businesses, saving time, and you can join them. Link is in the description. Let me also mention the AI success lab. This is our free community. You get access to video notes, AI use cases, and a community of people who are learning this stuff together. It's completely free. You'll get all the notes from this video, plus access to 100 plus AI use cases. links in the comments and description.