These 3 NEW Chinese Autonomous AI Agents are INSANE! 🤯

Three new Chinese AI agents just dropped and they're crushing the competition. We're talking coding that beats claude. Image editing that's actually smart and reasoning that thinks like a human. This is the future of open-source AI and it's happening right now. 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. All right, let's talk about something wild. Three brand new AI agents just launched from China, and they're not just good. They're absolutely crushing it. I'm talking about models that are beating GPT4, Claude, and Gemini in specific tasks. And the best part, two of them are completely open source. You can download them right now. Use them in your business, build agents with them, whatever you want. So today, I'm breaking down all three. Miniax M2. 1 for coding and agents, GLM4. 7 for reasoning and complex tasks and Quen Image Edit 2511 for image editing that actually understands what you want. Okay, by the end of this video, you'll know exactly how to use each one. And trust me, if you're running any kind of business with AI, you need to know about these. Let's start with the first one. MiniAX M2. 1. This thing is a coding beast. It's designed specifically for real world programming and agent workflows. Not just toy examples, actual production code. Here's what makes it special. It scored 72. 5% on the SWE multilingual benchmark. That's the test that checks if AI can actually code in multiple languages, not just Python. We're talking JavaScript, TypeScript, Go, Rust, all of it. But here's where it gets crazy. On the Vibe benchmark, it hit 88. 6%. Vibe tests multi-domain coding, web apps, backend systems, everything. and Miniax M2. 1 beat Gemini 3 Pro beat Claude 4. 5 Sonic open- source free to use. Now, let me tell you why this matters. Most AI coding tools are okay for simple stuff, write a function, fix a bug, generate some boilerplate, but when you need multi-step workflows, when you need an agent that can browse files, run shell commands, and execute code, that's where most models fall apart. Miniax M2. 1 doesn't. It has shell integration, browser tools, and code interpreters built right in. So, you can build agents that actually do complex tasks. Let me give you a real example. Let's say you run the AI profit boardroom community. You want to automate content creation for your members. You could use Miniax MT1 to build an agent that scans your latest AI news sources, pulls the most important updates, generates summaries in your brand voice, formats them for email, and schedules them in your CRM, all automatically. That's a five-step workflow. Most coding AIs would need constant handholding. Miniax M2. 1 just handles it. And here's the kicker. It only uses 10 billion active parameters. That means it's fast and cheap to run. You're not paying massive API fees like with GPT4. You can host it yourself if you want or use it through Open Router for pennies per request. The efficiency is insane. Now, if you want to try it, here's how. Go to open router, search for miniax m2. 1. Grab the API endpoint and start building. Or if you want to run it locally, head to hugging face. Download the weights and use VLM to serve it. There are guides all over the place. This thing is blowing up in the developer community right now. All right, moving on. Let's talk about GLM 4. 7. This is the latest model from JPU AI and it's all about reasoning. If Miniax is for coding agents, GLM 4. 7 is for thinking agents. Here's what changed from the last version. GLM 4. 6 S swbench coding performance up by 5. 8%. Multilingual coding up by 12. 9%. Terminal interactions up by 16. 5%. But the real upgrade, something called interled thinking and preserved thinking. I know that sounds technical, but it's actually simple. It's actually most AI models think in one straight line. You ask a question, they spit out an answer. No second guessing, no checking their work. GLM 4. 7 thinks in layers. It generates an initial thought, then it checks that thought against the context. Then it refineses it. Then it gives you the answer. It's like having an AI that can actually reason through problems, not just pattern match. This is huge for complex workflows. And speaking of AI automation, if you want to learn how to save hours every week and automate your business with tools like Miniax M2. 1 and GLM4. 6, 7, you need to check out the AI profit boardroom where we've got step-by-step guides, templates, and workflows for using these exact models to grow your business. No fluff, just practical automation that actually works. I'll drop the link in the comments and description. Let me give you an example of what GLM 4. 7 can do. Let's say you're building an AI automation for the AI profit boardroom. You want to create a content strategy agent, something that analyzes your

audience data, finds gaps in your content, and suggests new topics. With most AIs, you get generic suggestions. But with GLM 4. 7's reasoning, it can look at your top performing content, compare it to trending AI topics, check what your competitors are doing, find the gaps, and give you a custom strategy that actually makes sense, all in one prompt. Because it's not just guessing, it's thinking. Now, GLM 4. 7 also has better tool usage. It can browse the web, run shell commands, manage code, all smoother than before. And it's open source. You can download it right now from ZAI or run it through Open Router. The developer community is already building some wild stuff with it. I've seen agents that research topics, write reports, and fact check themselves, all automated. This is the kind of thing that used to take a team of people. Now it's just one AI model. Okay, last one. Quinn imageedit 2511. This is where things get visual. If you've ever tried to edit images with AI, you know the pain. You ask for a small change. The AI redraws the whole image and suddenly your person looks like a different human. Quen image edit 2511 fixes that. Here's what's new. Better multi-person consistency. So if you're editing a group photo, everyone stays looking like themselves. Built-in community luras. Loras are like style presets. Before you had to fine-tune models yourself. Now the most popular styles are already loaded. less image drift. That means when you make an edit, only the part you wanted changes. The rest stays intact. And improved geometric reasoning. So, so if you need to rotate an object, change perspective, or adjust lines, it actually understands spatial relationships. Let me show you a real use case. Let's say you're creating ads for the AI profit boardroom. You have a hero image of a person using AI tools, but you want to change the background to look more professional. Add text overlays, adjust the lighting on the person's face, and keep everything looking natural. With old AI image editors, you'd get weird artifacts. The person's face might change. The lighting would look fake. It'd be a mess. With Quen Image Edit tool 511, you can do all of that in one prompt. And it keeps the person looking exactly the same, just better lighting and a cleaner background. This is a gamecher for anyone creating content, marketers, designers, social media managers. You don't need Photoshop skills anymore. Just describe what you want and the AI does it. And it's not just for photos. You can edit product images, create mockups, design graphics, all with natural language. Now, if you want to try it, it's on HuggingFace. Just search Quen imageedit 2511. Download the model or use replicate if you want a simple API. They've got it hosted and ready to go. The model card has example prompts you can copy and the results are honestly shocking. I've been testing it for the past week and it's better than anything I've used before. So, let's recap what we covered today. Miniax M2. 1 is your go-to for coding and building autonomous agents. It beats most closed source models on real world benchmarks, and it's fast and cheap to run. GLM 4. 7 is for complex reasoning and multi-step workflows. It actually thinks through problems instead of just guessing. And Quen ImageEdit 2511 is for image editing that actually understands what you want. Better consistency, better geometric understanding, and built-in styles. And if you want the full process, SOPs, and 100 plus AI use cases like these ones, join the AI success lab. It's our free AI community. Links in the comments and description. You'll get all the video notes from there, plus access to our community of 40,000 members who are crushing it with AI. We share workflows, templates, and strategies every single day. No gatekeeping, just practical stuff that works. And drop a comment below and let me know which one you're going to try first. Miniax M2. 1 for coding. GLM4. 7 for reasoning or Quen image edit for images. I want to hear from you. Julian reads every single comment and will help you out if you get stuck. That's it for today. Thanks for watching and I'll see you in the next