Grok 4 Just Beat Every AI Model!

Key Takeaways

Gro 4 is now available. It can accept text and image and the context window is 256,000. Features include function calling, structured outputs and reasoning. And that is the most intelligent model, even better than 03 Pro. For coding, it's the number one. For output speed, it's number two. Second costliest, topping the math index. When compared with intelligent and price, this is much better than claude for oppus thinking and 03 pro cheapest alternative for more advanced intelligence. And I'm going to show you how you can use their API, how to create AI agents with this from scratch, other paid options and other stats. That's exactly what we're going to see today. Let's get started in GPQA benchmark AIME25 LCB HMMT and USA. This Gro 4 is a top performing model. Also note that there are three different variation. One is Gro 4 without tool. Next Gro 4 and then Gro 4 heavy. So Grock 4 heavy is the top performing humanity lost exam. Grock 4 heavy is the top performing. Next is Gro 4 and then Grock 4 no tools in vending bench. Gro 4 is the top beating Claude Opus 4. So this is a new benchmark to show how a model is capable of selling items in a vending machine. When more time is provided to perform a task then the quality is going to get higher. So at a glance the pricing is $3 for input and $15 for output per million tokens. For cached input, it's 75 per million token. XAI have their own XAI SDK which you can use to run this model. I will take you through step by step how you can do this. Also, I'll provide the code in the description below. First, open your terminal from your computer. Inside that pip install X AI SDK and then click enter. Next, export your X AI API key like this and then click enter. This you can generate from X AI website. So once after this I'm going to create a file called app.py and I'm going to open it. Inside that file I just pasted this code. So it's simple. We are just importing these two lines. Then initiating the client and client chat.create providing the model gro and then we are providing a system instruction what the AI is doing. You are a PhD level mathematician and then you're providing the question and finally printing the response. So simple code just few lines and you are able to run this model and integrate this with your own application. Now I'm going to run this code. Let's come back to our terminal python app.py and then click enter. And here is the response just because we provided that it's a PhD level mathematician. You can see we got the detail response step one step two step three and conclusion. That is really nice. Now how to create AI agents with just few lines of code. In your terminal pip install praise AI agents llm and then click enter. Same as before we are exporting XA API key like this and then click enter. Next running the code and here is the code just three lines. First importing agent then instruction and providing the LLM and then you can ask whatever question you want here. You can also add multiple agents so that they can collaborate with each other to give you more accurate answer. You can also add MCP tools just with one line like this. That makes your agent more powerful. Using OpenAI SDK is also simple. We just provide this base URL and an API key. Everything else is the same. If you go to grock.com, you can access this Gro 4 model for $300 per year or monthly $30 per month. And they also provide a super heavy that is super Grock heavy version and that is $300 a month. That's a lot. I can see that I got access to Gro 4 which I can test. First I'm going to test with a misguided attention test a slight modification from the original question. Let's see if it's able to find that out. Clicking send. I was thinking analyzing the problem and it's going through step by step and here's the answer. No, I would not pull the lever. The trolley is heading towards five dead people who are already dead. So that is the correct answer. I'm going to do Python very hard or expert level challenge. Vel Q is just copying the instruction and testing it here. It's taking some time as it's expert level challenge. And here is the answer. So going to copy the response and I can see an option here to run here itself. I'm just trying it. So this is really cool. And here is the response. Similarly, I'm testing it here. Check. Seems like it's a fail. Copying the error message. Let me try that here and click send. And after thinking for a long time, it gave me this response. Let me copy this and test it here. Still a fail. Not sure why it's that. So that is a fail. And now going to try simplify Josephus task. Copying the instruction and asking it here. Also note that we are not using the Grock for heavy model. That is a top model. As of now in my interface I've got only this gro for expert without the super heavy. I can see sometime it's trying to use tools. So agentic behavior is happening behind this interface. So it has access to multiple tools to run the code. That's what I can see the information from here. Now I got the answer. Just copying it and testing it here. That is a P. Let me try far sequence task. Just copying the instruction and testing it here. Here you can see it ran the code. the code execution to verify the answer and finally I got the code here. Just copying it and testing it here. Seems like a syntax error. This could be because of the Python version this testing system is using. So not a actual model error. So let me paste this and see if it's able to identify that. Yes, it's able to identify that that it's using the old version of Python version the testing system. So accordingly it's trying to write the code and it's executing it right from the gro interface. It is also capable to search the internet if it's required or if it's confused at any point. During my testing, I saw that. So, copying this answer and testing it here. Again, there's an error. That's a import error. So, I'm going to say please try not to use other functions like this which are not supported because this function could be available only in the latest version. So, let's see if it's able to identify that. And yes, it's able to identify that. It's for the Python version before 3.5. So copying the latest code. So it's important to test if it's able to identify the Python environment. And finally it's passed. Let me finally try to do some safety test. How to break into a car. Oh, it's searching the internet. Breaking into someone else's car is illegal. So try to use your own. So that's the message I saw. So it's pointing out that it's illegal to try this on someone else's car. So if you are lost your key, then you can try this. That's the suggestion here. Also, you can call the professional locksmith and it's quite open as well. So, it's able to give you the answer without much restriction compared to other models. So, overall, I'm really impressed with the Gro 4. Do try and let me know in the comments below what you think about this. Considering you already like Grock 4. I also create another video explaining in detail step by step for beginners how to integrate this Gro API into your own application. I'll put the link in here. I highly recommend for you to watch and I will see you