GLM 5 + MiniMax M2.5 is INSANE! 🤯

Two new AI models just dropped and they are wild. We're talking GLM5 and Miniax M2. 5. These things can code, search the web, run entire workflows all by themselves. GLM5 is open source, 744 billion parameters, free to download. Miniax M2. 5 is scoring 80% on real coding benchmarks, the same level as the best closed models in the world. And the cost about a dollar an hour. Not a typo, $1. The benchmarks are real. The models are live right now. and by the end of this video, you'll know exactly how to use them. So, stick around because this one matters. 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. Now, let's get into it. First up, GLM5. This comes

from a company called Zepoo AI, also known as Z. I. And this is one of the most powerful open- source models ever released. 744 billion total parameters. That's a huge number. But here's the clever part. It only uses around 40 billion at a time. It's called a mixture of experts model. Think of it like a specialist team. You don't need every expert on every task. Only the right ones show up when needed. That makes it fast and efficient at the same time. GLM5 also has a context window of around 200,000 tokens. That means it can read and process massive documents in one go. Big code bases, long reports, huge research papers, no problem. And it's fully open. You can try it live at chats. ai. Download the weights on HuggingFace, run it yourself. No locked doors. This model is built for complex long horizon tasks. The kind of deep planning and step-by-step thinking that normally takes serious time and effort. GLM5 handles it well, and it keeps showing up at the top of open-source leaderboards for coding and agentic workflows. That's GLM5. Powerful, open, free to access. Now, let's talk about

the model that's been causing the most buzz. Miniax M2. 5. This is the one everyone's been talking about. It was built for real world productivity, not just answering questions, actually doing things autonomously, coding, searching the web, calling tools, running multi-step workflows, all in a continuous loop without needing a human to step in. It comes in two versions. Standard runs at 50 tokens per second. Lightning runs at 100 tokens per second. For aentic work, where speed matters a lot, lightning is the one you want. Now, here's the part that stopped everyone in their tracks. You can run M2. 5 at 100 tokens per second for around $1 per hour compared to most Frontier API costs. That is a serious value gap. Top tier performance without the matching price tag. And it's not just cheap, it's fast. 37% faster than earlier versions. More output, quicker turnaround, lower total cost per task. You can access the Miniax agent right now at agent. mminax. io. No coding needed. Just go type what you need and let it work. Before we get to the benchmarks, if you want to use tools like GLM5 and Miniax M2. 5 to actually grow your business, not just understand them, you need to check out the AI profit boardroom. It's where business owners learn how to build real AI systems, actual workflows, real automation, stuff you can deploy today to save time and get more done without burning out. We use tools exactly like these to build content pipelines, automate research, and run entire business processes on autopilot. Link is in the description. Go check it out, then come back because the benchmark numbers are about to get very

interesting. Let's talk numbers because the benchmarks on M25 are genuinely impressive. SWBench verified 80. 2%. This tests real coding. Can the model fix a real bug in a real code base? Not a madeup problem, an actual one. 80. 2% 2% is top tier, competing with the best models on the planet. Browse comp 76. 3%. This tests web search and navigation. Can the model go to the internet, find the right information, and come back with a useful answer? Yes, almost eight times out of 10. BFCL multi-turn 76. 8%. This test tool calling. Can the model chain multiple tools together to complete a complex multi-step task? Yes, very well. MultiSsweb bench 51. 3%. This is the hardest one. fixing bugs across multiple code repositories at the same time. 51. 3% on this benchmark is seriously strong. These scores per M2. 5 right alongside some of the best closed models in the world, but at a fraction of the cost per call. The gap between open source and closed source AI is closing fast. And this is what that looks like in real numbers. Let me show

you what this looks like in practice. Real prompts, real use cases, things you can go and try today. Say you're running a community like the AI profit boardroom and you want to grow it. Here's how these models help directly. First example, onboarding automation. You give M2. 5 this prompt. Write a five email welcome sequence for new members joining the AI profit boardroom. Each email should cover a different benefit, tools, templates, live sessions, and peer support. Keep it simple, friendly, and energetic. It writes the whole sequence. You review it and send. Second example, weekly content research. You say, "Search the web for the five biggest AI tool releases this week. Write a three-s sentence summary of each one. Format it as a weekly roundup post for our AI profit boardroom community. " It goes to the web, pulls the real information, and writes the post done in under a minute. Third example, lead magnet creation. You say, "Create a one-page guide called the five AI tools. Every business owner needs right now. Include a short intro, a description of each tool, and one action step for each. " Write it for someone who has never used AI before. You get a clean, usable guide ready to share or turn into a PDF. This is what AI automation looks like in real life, not theory. Real outputs, real time saved, real content created without you sitting there writing every word. Here's

how to get started. Four steps, genuinely simple. Step one, go to agent. mminax. io. That's the Miniax agent interface. You can use it right now with no coding needed. Just type your task and let it run. Step two, for API access, go to platform. mminax. io. If you're running lots of automated tasks, look at the coding plan. It's built for highvol continuous use. Step three, for GLM5, go to chat. ai, try it live, or go to hugging face and download the weights if you want to run it locally on your own setup. Step four, developers, both models are available on Open Router. Easy to plug into existing workflows. Link in the description. That's it. You don't need to be technical to start. The agent interfaces are built for regular users. Just describe what you want done and go.

Here's the bigger picture, and this is the part worth hearing. For a long time, the best AI models were locked behind big companies. Closed APIs, high costs, proprietary systems. You paid their price or you went without. That's changing right now. GLM5 and Miniax M2. 5 are proof. Open source models are matching closed ones on real world benchmarks, not simple tests. actual coding, actual web search, actual multi-step tool use, and the cost to run this level of capability has dropped dramatically. Smaller teams can now build things that only large companies could build a year ago. The businesses that figure this out now, the ones that build their workflows around these tools today, that are going to move faster and do more with less. The question is not whether AI automation matters. It does. The question is whether you start now or later. If today's video was useful, here's your next step. The AI profit boardroom is where we go deep on exactly this. Real AI systems, real workflows built for business owners who want to automate the right way. We break down how to use tools like GLM5 and M2. 5 with step-by-step processes you can put to work straight away. No fluff, no guesswork, just systems that work. Link is in the description. And if you want the full process, the SOPs, and over 100 AI use cases like this one, join the AI success lab. It's completely free. You'll get all the notes from today's video, plus access to a community of 40,000 members who are building and automating with AI every day. Links are in the comments and the description. Don't sleep on it. GLM5 Miniax M2. 5, open source, powerful. Live right now. Like the video if it helped. Subscribe so you don't miss the next one and drop a comment. Well, what's the first thing you'd automate with these tools? Julian reads every single reply. See you in the next one.