Development with Grok 4 Is Faster, Smarter, and More Dynamic

The model that was the first to break the 15% barrier in the extremely challenging ARC AGI 2.0 test. A model that is supposed to be smarter than an entire generation of graduate students. We're talking about Grok 4, the latest artificial intelligence from xAI.

While many language models attract attention with their parameter volume and multimodality, Grok 4 takes a different path. It combines performance with an architecture designed for deep understanding, deductive reasoning, and the ability to assist developers in their daily work. In this article, we'll look at how Grok performs in practice - and most importantly, what it offers to programmers who are looking for more than just an automatic syntax generator.

ARC AGI as the First Milestone Crossed

Grok 4 achieved 15.3% on the ARC AGI 2.0 test - one of the most challenging tests of general intelligence, focused on the ability to solve logical, mathematical, and language problems similar to IQ tests. For comparison: GPT-4 scores around 13%, Gemini 2.5 Pro and Claude 3 Opus slightly below this threshold. This result confirms a high level of reasoning ability - a key capability for development tasks requiring more than just syntax generation. ARC benchmark - Allen Institute for AI

Model	ARC AGI 2.0 Score	HumanEval	Codeforces Rank
Grok 4	15.3%	75-78%	Master (~2100)
GPT-4 (OpenAI)	12-14%	67-72%	Candidate Master
Claude 3 Opus	10-11%	70-75%	~Expert
Gemini 2.5 Pro	13%	76-80%	Master

These results show that Grok 4 is not just a PR product, but genuinely ranks among the best models on the market capable of solving tasks with high complexity and non-deterministic scenarios. For developers, this means the model better understands intent, estimates logical connections, and is capable of proposing solutions in context, not just based on learned patterns.