Every Chinese AI Model Explained (In 8 Minutes)

China's been quietly building a full army of AI models and they're crushing it. While everyone's obsessing over chat GPT, China's got eight different AI agents that can think, code, and create better than most humans. I tested all of them. Some are free, some are scary good. Let's go. Let me break down what

you need to know. First up is Ernie 5. 0 from BYU. This thing just hit number one on the LM arena leaderboard. That's the same benchmark where Chat GPT and Claude compete. Ernie beat them. is a multimodal model, which means it can handle text, images, audio, and video all in one go. You can throw a video at it and ask it to summarize what happened. You can feed it code and ask it to debug. You can give it a math problem and watch it solve stepby step. BU integrated this into their AI assistant, and now 200 million people use it every month. That's more than the population of most countries. Here's what makes Ernie different. It's not just good at one thing. It crushes reasoning tasks. It's top tier at creative writing. It follows instructions better than most models I've tested. And it's built specifically for Chinese language tasks, which means it understands context and nuance that Western models miss. The architecture is unified, which means all those different inputs, text, video, audio. They're all processed together, not bolted on as separate features. This is the real deal. 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 talk about the Quen

family from Alibaba. This is where things get wild. Alibaba didn't just build one model, they built three. Quen 3 Max, Quen 3 Next, and Quen 3 Omni. Each one serves a different purpose. Quen 3 Max is their monster. It has over one trillion parameters. It's a beast at coding. It handles agent tasks like a pro and you can access it through their API or Quench chat. They're also working on a thinking variant which adds deeper reasoning. Think of it like chat GPT's 01 but Chinese. Quen 3. Next is all about speed. It uses something called sparse mixture of experts. Basically, it activates only the parts of the model it needs for each task. That makes it faster to run. It also does multi-token prediction, which means it can guess what comes next more accurately. If you're running AI tasks at scale, this is the one you want. Then there's Quen 3 Omni. This is their true multimodal model. Text, vision, audio, video, all of it. And it's scoring state-of-the-art on multimodal benchmarks. You can feed it a video, ask it a question about what's happening, and it will break it down for you. What's crazy about Alibaba's strategy is they're doing both. They have open- source models you can download under Apache license, and they have powerful proprietary models you can access through the cloud. That's smart. It builds community trust while keeping their top tech available through APIs. And it's working. Developers are building on Quen like crazy. If you want to learn how to automate your business with AI tools like Quen, Ernie, and the rest of these Chinese models, join the AI profit boardroom. It's where I show you how to scale your business, get more customers, and save hundreds of hours with AI automation. You'll get step-by-step guides, workflows, and strategies for using these exact tools to streamline your operations and grow faster. We cover everything from automation systems to AI integration in your daily workflow. Links in the description. Next is GLM 4. 7 from GPU

AI. This one's focused on coding and agent tasks. If you need an AI that can handle multi-step reasoning and complex workflows, GLM is solid. It's known for natural responses, not robotic, not over formal, just clean. The open model community loves it because it competes head-to-head with the big players from BU and Alibaba. And it's reliable. That's huge when you're building something that needs to work every single time. Then we have Deepseek V3. 2. This is the efficiency king. Deepseek is known for being one of the most efficient Chinese AI models on the market. V3. 2 keeps that reputation. It's close to GPT5 levels on benchmarks, but runs on way less compute. It balances performance with output length, which is a fancy way of saying it doesn't waste tokens. If you're running thousands of AI tasks a month, DeepSeek is perfect for businesses that need enterprise level performance at scale. Now, let's

talk about Kim K2 from Moonshot AI. This is a mixture of experts model with around 1 trillion parameters, but only 32 billion are active at any time. It's designed for agentic reasoning and code. What does that mean? It can plan, it can execute, it can adjust on the fly, you can give it a complex task like build me a web scraper that extracts headlines from news sites and it'll do it. The thinking variant adds even deeper multi-step reasoning. It also handles extended context, which means you can throw massive documents at it and it won't forget what you said three pages ago. The best part is Kim K2 is open weight. You can download it, you can run it, you can modify it. That's huge for developers who want full control. It competes with the closed source giants on open benchmarks and it's completely free if you have the hardware to run it.

Then there's Mini Max M2. 1. This one's newer and smaller. It focuses on text generation and conversational quality. Think of it as a mid-tier option. It's easier to run on consumer GPUs. It's good for demos and coding tasks. Some people in the community think it might go API first, which would lock down the weights, but right now it's accessible. If you're just getting started with Chinese AI models and you don't want to mess with a trillion parameter monster

start here. So, here's the comparison. If you want the best multimodal experience, go with Ernie 5. 0 or Quen 3 Omni. If you need raw coding power, Quen 3 Max or Kim K2. If you're looking for efficiency, DeepSeek V3. 2 or Quen 3 Next. If you want natural conversations and agent workflows, GLM 4. 7. And if you're experimenting or learning, Miniax M2. 1. Each one has a lane. Each one dominates that lane. Now, let's talk about who should use what. If you're a student or a coder, go with Quen 3 Max or Kimik 2. They're open, they're powerful, and they're free if you run them locally. If you're building products Ernie or Quen 3 Omni, you need multimodal. You need reliability. These deliver. If you're running an enterprise or a cloud platform, Deep Seek for efficiency or GLM for agent tasks. Both scale well. Both integrate easily. You can access these models right now. Ernie has an online playground. Quen has Quench chat and APIs. GLM is on hooking face and model scope. Deepseek has APIs you can test. Kim K2 is open weight so you can download it. Miniax has demos you can try. None of this is theoretical. It's all live. It's all usable and it's all competing with the western models you already know. So that's every major Chinese AI agent. Ernie 5. 0 for multimodal dominance. Quen 3 Max next anomy for the full stack. GLM 4. 7 for coding and agents. Deepseek V3. 2 for efficiency, Kimmy K2 for open source power, a Miniax M2. 1 for getting started. Eight models, eight different strengths, all available right now. Go test them. See what works for you and let me know in the comments which one you like best. If you want to learn how

to automate your business with AI tools like Quen, Ernie, and the rest of these Chinese models, join the AI Profit Boardroom. It's where I show you how to scale your business, get more customers, and save hundreds of hours with AI automation. Inside, you'll find detailed walkthroughs, implementation guides, and proven automation workflows that help you integrate these powerful AI tools into your business systems. Plus, you'll get access to our private community where members share their wins and strategies. Links in the description. And if you want the full process, SOPs, and over a 100 AI use cases like these Chinese models, join the AI success lab. is our free AI community where we dive deep into practical AI applications. Links in the comments and description. You'll get all the video notes from there, detailed breakdowns of each tool we cover, plus access to our community of 38,000 members who are crushing it with AI. We share templates, automation systems, and real world implementations that you can copy and use in your own projects. All right, that's it for today. Hit the like and subscribe button and I'll see you in the next