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Today I'm going to show you GLM 4. 5. This new AI model just dropped and it's absolutely crushing the competition. It's cheaper than Deep Seek. It's open source. It runs on just eight chips and is beating models that cost 136 times more. This is huge. 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. Listen up. Something massive just happened in the AI world. I'm talking about GLM 4. 5 and this thing is not playing around. This model is actually performing better than most of the expensive ones. Let me break this down for you. GLM 4. 5 just ranked third globally across 12 hardcore benchmarks behind only OpenAI's 03 and one other model. And it's completely open source. Look at these benchmark results. In tool calling GLM 4. 5 gets a 90. 6% success rate. That beats Claude's 89. 5%. It crushes Kimmy K2 at 86. 2%. and destroys Quen 3 coder at 77. 1%. In coding tasks, it wins 40. 4% of the time against Claude Son. It beats Kimmy K 253. 9% of the time and it dominates Quen 3 with an 80. 8% win rate. But here are the real numbers that matter for your business. On SWEV verified, which tests real software engineering tasks, GLM 4. 5 scored 64. 2%. That's competitive with Claude 4 Opus at 67. 8% 8% and Claude Forsa at 70. 4%. For a model that costs 136 times less on web browsing tasks, GLM 4. 5 gets 26. 4% accuracy on browse comp that crushes Claude 4 Opus at 18. 8% is close to OpenAI's O4 mini high at 28. 3% but again for a fraction of the cost in the smaller version. GLM 4. 5 Air ranked sixth globally. Still crushing models that cost way more to run. And here's what really got people's attention. Pearl AI posted RIP chat GPT when they saw GLM 4. 5's performance. They said this AI just dropped with 355 billion level power, open- source, and built for reasoning, research, and code. Here's something that blew my mind. Most big AI models need hundreds or thousands of chips. This thing needs eight. That's how efficient it is. GLM 4. 5 uses something called mixture of experts architecture. But instead of making it wider and bloated like most companies do, they made it deeper and more focused, more layers, fewer distractions. The result is better reasoning and more stable behavior. They trained this thing in stages. First 15 trillion tokens of general data, then 7 trillion tokens of specialized code and reasoning data. Then they used reinforcement learning to make it even better at specific tasks. They even built their own training infrastructure called Slime to handle the massive scale. This isn't some weekend project. This is serious engineering. I tested this thing myself. I asked it to build a game. Not just give me code that doesn't work. Actually build a playable game. It delivered. Clean code, no bugs. The game actually worked. And get this. Someone actually built a OneShot Doom clone with GLM 4. 5. A complete game, working graphics, player movement, enemy AI, all from a single prompt. If you want to learn exactly how to set up these kinds of AI workflows and get access to step-by-step tutorials, you need to check out the AI Success Lab. We have over 14,000 members, and we're constantly sharing new strategies, tools, and tutorials. There are over 100 different AI use cases documented in there. Plus, you get all the video notes and step-by-step guides. The link is in the comments and description. Now, let me give you specific prompts you can test GLM 4. 5 with right now. Test one, full stack web app. Build me a complete project management dashboard called Project Hub with drag and drop camb board, task creation, due dates and priority levels, team member assignment, progress tracking charts, dark mode toggle, responsive design, and REST API back end with data persistence. Test two interactive game creation. Create a playable space shooter game called Cosmic Defender with player movement, multiple enemy types, power-ups, collision detection with particle effects, progressive difficulty, high score system, and sound effects. Test three, business presentation generator. Create a 15 slide investor pitch deck for SAS of data sync pro, including problem solution, market analysis, competitive landscape, business model, financial projections, and funding requirements. These aren't basic coding exercises. These are real world applications that would normally take teams of developers weeks to build. GLM 4. 5 can handle all of them. Here are the specific use cases where GLM 4. 5 shines. Content creation. This thing can write blog posts, social media content, email campaigns, and it understands context really well. It's not just generating generic content. It's creating stuff that actually fits your brand voice. Coding and development. If you're building software, GLM 4. 5 can help with everything from writing code to debugging to creating documentation is particularly good at full stack development. Data analysis, need to analyze spreadsheets, create
visualizations, generate reports. GLM 4. 5 can handle all of that and it won't break halfway through like some models do. Customer service. You can fine-tune this model on your specific business knowledge and use it to handle customer inquiries. At the cost per token, you could run it 24/7 for less than you'd pay for one human customer service rep. Try these test prompts yourself and you'll see what I mean. The model doesn't just generate code. It builds working applications. Are there? Here's what I think is really happening. The AI race is changing. It used to be about who could build the biggest model with the most parameters. Now it's about efficiency. How can you get the best performance with the least resources? Chinese AI companies are winning this efficiency game. They're being forced to because of chip restrictions, but that's making them more innovative. Now, let me show you how to actually use this for your business. There are several ways to access GLM4. 5. First, you can use it directly on Z. ai's website. Just go to chatz. ai AI and start using it like chat GPT. It's free to try. Second, you can use their API if you're building applications. The pricing is crazy cheap compared to other providers. Third, and this is the big one, you can download the model weights and run it yourself. It's on hugging face and model scope. If you have the technical skills, you can fine-tune it for your specific use case. Do I see this going? I think we're about to see a flood of efficient, cheap AI models, not just from China, but from everywhere. The old model of paying thousands per month for AI is going to die. But let's talk about the elephant in the room. Is GLM4. 5 going to replace your current AI tools? For most businesses? Probably not completely, at least not yet. But it's going to supplement them in a big way. Here's how I see it playing out. You'll use GLM4. 5 for the bulk of your AI tasks cuz it's so cheap. Then you'll use premium models like 03 or Claude for the really critical stuff where you need the absolute best performance. It's like having a Honda Civic for daily driving and a Ferrari for special occasions. Both have their place. The real game changer is that GLM4. 5 makes AI accessible to businesses that couldn't afford it before. Small agencies, solo entrepreneurs, startups with tight budgets. Before this, if you wanted good AI, you needed deep pockets. Now you can get 90% of the performance for 1% of the cost. That levels the playing field in a major way. But here's something most people are missing. This isn't just about cost. It's about control. When you use closed source models, you're at the mercy of the company that makes them. They can change pricing. They can modify the model. They can shut down your access. With open-source models like GLM4. 5, you have control. You can run it however you want. You can modify it for your specific needs. You can ensure it keeps working even if the original company disappears. That's powerful for businesses that are building AI into their core operations. And that's where models like GLM 4. 5 shine. They're not trying to be the absolute best at everything. They're trying to be good enough at everything while being incredibly efficient. For most business use cases, good enough is actually perfect. You don't need the absolute best AI model to write your email campaigns or analyze your data. You need something that works reliably and doesn't break the bank. GLM 4. 5 delivers exactly that. So, here's my recommendation. Start experimenting with GLM 4. 5 now. Don't wait for it to become mainstream. Get familiar with it while you still have an advantage. Test it on your current workflows. See where it can replace expensive tools. Identify tasks where it's actually better than what you're currently using. And remember, this is just the beginning. GLM 4. 5 is impressive, but it's going to be surpassed by even better models in the next few months. The key is to stay ahead of the curve and adapt quickly when new tools become available. The AI revolution is accelerating. The question is not whether AI will transform your industry. The question is whether you'll be leading that transformation or scrambling to catch up. Tools like GLM4. 5 are democratizing AI, they're putting powerful capabilities in the hands of small businesses and entrepreneurs who couldn't afford them before. That's your opportunity. While your bigger competitors are locked into expensive contracts with legacy providers, you can move fast with cuttingedge tools that cost almost nothing. Speed and agility beat size and resources in the AI game. GLM4. 5 just gave you both. The future of business is AI powered, and now that future is affordable. Now, if you want to take this further, I've got three things for you. First, join my AI profit boardroom. This is the best place to scale your business, get more customers, and save hundreds with AI automation. We currently have 1,000 members, and it's where the real business growth happens. Second, book a free SEO strategy session with my team. We'll show you exactly how AI can help your business get more customers and leads. Uh the link is in the comments and description. Third, check out the AI success lab. You'll get access to our SOP and process library with over 100 use cases. You see how I show a checklist of 100 different tutorials that are given away as freebies every day inside the school feed. You can get all the video notes from there and all the other training materials. With 14,000 members, you'll be part of something bigger than yourself. Links are in the comments and