Build anything with MiniMax M2.1 🔥

There's a new AI model that codes better than Claude Sonet 4. 5. It's completely free and runs on your computer and it just beat every paid model on real coding tests. I'm going to show you exactly how to use it to build apps in minutes. This is wild. 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. Okay, so here's what just

happened. A company called Miniax just dropped a model called M2. 1 and it's open source, which means you can download it right now and run it on your own computer for free. No API costs, no subscriptions, nothing. But here's the crazy part. This thing beats Claude Sonic 4. 5 on actual coding benchmarks. It beats Google Gemini 3 Pro. is literally outperforming the paid models that everyone's using right now. And I'm going to show you exactly how to use it. Let me break down what makes

this so special. First, the architecture M2. 1 is what's called a mixture of experts model. It has 230 billion parameters total, but it only uses 10 billion at a time. This is huge because it means you get the intelligence of a massive model, but the speed of a small one. It runs about 14 tokens per second on a single GPU. That's faster than most 70 billion parameter models. And it has a 200,000 token context window, which means it can understand your entire codebase at once, not just a few files, your whole project. Now, let's talk

about what it actually does. Well, this model was built specifically for coding. It handles Python, Rust, Java, Go, C++, Cotlin, JavaScript, pretty much every language you'd actually use. And it's not just writing simple functions. It builds full stack applications from scratch. On the SWE multilingual benchmark, M2. 1 scored 72. 5%. Claude son 4. 5 got 68% on the Vibe full stack app test. M2. 1 scored 88. 6%. Claude got 85. 2%. This is a free open-source model beating paid enterprise models. But here's what I

really want you to understand. This isn't just about benchmarks. It's about what you can actually build with it. Let me give you an example. Say you run the AI profit boardroom. You need a new landing page that explains the value of AI automation. something that converts visitors into members. You could hire a developer or spend hours doing it yourself or you could use M2. 1. You literally just tell it what you want. Build a landing page for AI Profit Boardroom that highlights the benefits of AI automation. Shows social proof from our community and has a clear call to action to join and it generates the entire thing. HTML, CSS, JavaScript, fully functional with clean code that actually works. Or say you need to automate email follow-ups for new leads. You tell M2. 1 to build a Python script that connects to your email system, pulls new contacts, and sends personalized sequences based on their interests. It writes the whole script, handles the API connections, manages the logic, and gives you something you can run immediately. This is the kind of automation that saves hours every single day, and you're doing it with a free model on your own computer. No monthly fees, no usage limits. And speaking of automation, if you want to learn how to save time and automate your business with AI tools like Miniax M2. 1, you need to check out the AI profit boardroom. And we teach you exactly how to use these cutting edge models to build real automation systems that grow your business. No fluff, just practical AI implementation that actually works. Link is in the description. All right, back

to M2. 1. Let me show you how to actually get started with this. First, go to hugging face. The model is released under a modified MIT license. You can download the weights directly. It's completely legal, completely free. Once you have the weights, you have a few options for running it. You can use hugging face transformers, you can use VLM, you can use SG Lang, or if you want the easiest route, use Olma. Alarm makes it super simple to run these models locally. You just install it, pull the M2. 1 model, and start using it. No complicated setup, no configuration headaches. It just works. And because M2. 1 only activates 10 billion parameters at a time, you can run it on reasonable hardware. An A100 works and an H100 works, even dual RTX 4090s can handle it. And there's a Q6 quantized version that runs even faster with less memory. Now, let's talk about what makes

M2. 1 different. It has something called advanced interle thinking. This means it handles complex multi-step instructions way better. You can give it constraints, requirements, multiple conditions, and it figures out how to satisfy all of them. For example, build me a dashboard for tracking AI automation projects in the AI profit boardroom that shows project status, team members, deadlines, and budget with mobile responsive design. M2. 1 understands all of that and generates code that meets every requirement. Another thing I love about this model is way less verbose than previous versions. M2. 1 writes clean, minimal code that does exactly what you asked for. Nothing more, nothing less. Now, let's talk about tool use. M2. 1 isn't just a code generator is built for agentic workflows. It can use external tools, call APIs, execute commands, and chain multiple actions together. You could have it build a system that scrapes data from a website, processes it, stores it in a database, and generates a report all automatically. You're getting complete automated systems that do real work. And because it's open source, you can customize everything, fine-tune it on your own data, modify the prompts, integrate it into your own tools. You own the whole stack. Say you run an agency like Goldie Agency and need to generate SEO reports for clients every month. M2. 1 can build a script that connects to all your data sources, pulls the metrics, generates charts, formats everything into a PDF, and emails it to clients, all without you touching anything. That's the power of having a coding model this good running locally. You can build custom automation for your specific needs without paying per API call or hitting rate limits. Now, I know what some of you are thinking. Is this really as good as Claude or GPT? For coding, yes, the benchmarks prove it. M2. 1 is purpose-built for coding and agentic tasks. It's trying to be the best coding assistant possible. And at that, it succeeds. Let's talk about some specific

use cases. Web 3 development. M2. 1 has special training on web3 protocols for building blockchain apps and smart contracts, full stack web apps. M2. 1 understands front-end design, backend logic, and database connections. Test generation. M2. 1 can automatically write unit tests for your code, saving a ton of time. Code review. Give M2. 1 your code and it finds bugs, suggests improvements, and optimizes performance. It's like having a senior developer review your work. All of these use cases are things you can do right now with M2. 1 for free on your own machine if you want to run it in the cloud. Miniax has a hosted API called the Miniax open platform. They also have the Miniax agent, a public demo that shows the model in action, but running it locally is the best option if you have the hardware because you have complete control. You can customize parameters, modify system prompts, and fine-tune it on your own data. So, how do you actually start using this today? Go to hugging face and search for Miniax M2. 1. Download the model weights. Choose your inference engine. I recommend Olama for simplicity. Load the model and follow the setup instructions on the hugging face model card. Start prompting it with coding tasks. Then integrate it into your actual projects for automation and development. This is technology you can use today to save time and build better software. And if you want to learn exactly how to use AI models like this to automate your business, join the AI profit boardroom. We'll show you the full process, give you templates and prompts, and teach you how to implement AI automation that grows your business. Link is in the description. And if you want the full process, SLPs, and 100 plus AI use cases like this one, 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. All right, let me

wrap this up. Miniax M2. 1 is a gamecher. It's open- source free beats paid models on coding benchmarks and runs locally on consumer hardware. If you're building apps, writing code, or automating workflows, go to hugging face, download it, and see what you can build. This is the future of coding. Thanks for watching. Drop a comment below and let me know what you're going to build with M2. 1.