AI Research | 8/8/2025
Grok 4 Takes the Lead in AGI Reasoning, Leaving GPT-5 in the Dust
xAI's Grok 4 has outperformed OpenAI's GPT-5 in a crucial AGI reasoning test, showcasing a shift in AI capabilities. However, the cost of Grok 4's performance raises questions about efficiency versus effectiveness in AI development.
Grok 4 Takes the Lead in AGI Reasoning, Leaving GPT-5 in the Dust
So, picture this: you’re sitting at your favorite coffee shop, sipping on a latte, and the topic of conversation shifts to artificial intelligence. You know, the stuff that’s supposed to be the future? Well, let me tell you about a recent showdown in the AI world that’s got everyone buzzing.
The Big Reveal: Grok 4 vs. GPT-5
In a twist that’s got tech enthusiasts talking, xAI’s latest model, Grok 4, has just outshined OpenAI’s much-anticipated GPT-5 in a critical test for artificial general intelligence (AGI). This isn’t just any test, either; it’s the Abstraction and Reasoning Corpus (ARC) AGI benchmark, specifically the second version, ARC-AGI-2. Think of it as the ultimate brain teaser for AI, designed to see how well these models can think on their feet and tackle new challenges.
Now, here’s where it gets interesting. Grok 4 scored around 16 percent on this tough benchmark. That’s almost double the score of its closest competitor, Anthropic's Claude 4 Opus, which managed to scrape by with about 8.6 percent. It’s like watching a high school football team crush their rivals by a landslide. But wait, there’s a catch. Grok 4’s impressive performance comes with a hefty price tag—between $2 to $4 per task. Ouch!
In contrast, GPT-5, while lagging behind with a score of 9.9 percent, is way more budget-friendly at just $0.73 per task. It’s like choosing between a fancy steak dinner and a solid burger joint. Both are good, but one’s definitely gonna hit your wallet harder.
The ARC-AGI Benchmark: What’s the Deal?
Now, let’s dive a bit deeper into what this ARC-AGI benchmark is all about. Created by François Chollet, it’s designed to test fluid intelligence—the ability to adapt and learn in new situations. Imagine trying to solve a puzzle that’s super easy for you but leaves a computer scratching its head. That’s the essence of this test. The second version, ARC-AGI-2, cranks up the difficulty, with most AI systems scoring in the single digits. Meanwhile, humans can breeze through it in under two attempts. Talk about a confidence boost!
When the results came in, Grok 4 didn’t just lead the pack; it set a new standard for closed models. The ARC Prize organization verified its score of 15.9 percent on a hidden evaluation set, solidifying its status as the new top dog in the AGI race. But here’s the kicker: while Grok 4 is flexing its reasoning muscles, GPT-5 is still holding its ground with a more efficient approach.
The Cost of Intelligence
Let’s not forget about the less demanding ARC-AGI-1 test, where Grok 4 again took the lead with a score of about 68 percent, just edging out GPT-5’s 65.7 percent. But, you guessed it, the cost differential is still there. Grok 4’s tasks run about $1 each, while GPT-5 manages to pull off similar performance for just $0.51 per task. It’s like comparing a luxury car to a reliable sedan—both get you where you need to go, but one’s gonna cost you a lot more in gas.
OpenAI’s got some lighter versions of GPT-5 too, like the Mini and Nano, which score decently but at a fraction of the cost. It’s a smart move, catering to folks who need performance without breaking the bank.
The Architecture Behind Grok 4
What’s really cool about Grok 4 is its “Heavy” variant, which uses a multi-agent system. Picture a group of friends brainstorming ideas for a project; they bounce ideas off each other, leading to better solutions. That’s kinda how Grok 4 works. Different AI agents collaborate on problems, which seems to give it an edge in complex reasoning tasks. Meanwhile, GPT-5, while also designed to tackle complex issues, is finding its balance between raw reasoning power and operational efficiency.
The Bigger Picture
So, what does all this mean for the future of AI? It’s not just about who scores higher on a test; it’s also about how much it costs to get there. As we push towards more generalized AI capabilities, the economic and computational feasibility of these systems will play a huge role in shaping their development. It’s a balancing act, and the stakes are high.
In the end, whether you’re Team Grok or Team GPT, one thing’s for sure: the race for AGI is heating up, and we’re all just along for the ride. So, next time you’re at that coffee shop, you’ll have some juicy AI gossip to share!