In July 2025, Elon Musk’s xAI introduced Grok 4, its most advanced large language model yet (according to the company). This release marked a major leap in artificial intelligence. Grok 4 is designed to solve complex problems, understand images and speech, and even search the internet in real-time. It’s not just smarter than its earlier versions; it's being described by xAI as the “most intelligent model in the world.”
But what exactly makes Grok 4 so powerful? How does it compare to other leading models like OpenAI’s GPT-4, Anthropic’s Claude, or Google’s Gemini? What are its limits? And is the hype backed by real results?
This blog takes you through everything you need to know, from Grok 4’s architecture and performance to user reactions and future plans.
Grok 4 is a multimodal, tool-using, real-time AI model from xAI, Elon Musk’s artificial intelligence company. It builds on earlier versions, Grok 1, 2, and 3, which rolled out between late 2023 and early 2025. Grok 4 became publicly available on July 9, 2025, through the X app (formerly Twitter), xAI’s standalone mobile apps, and an API for developers.
Unlike simple chatbots, Grok 4 is designed to:
Musk calls it “PhD-level in everything.” While that’s a bold claim, Grok 4 continues to demonstrate impressive results across real academic and logic benchmarks, proving it’s more than just hype.
Grok 4 is based on Transformer architecture, like GPT-4 and Claude. It trains on a wide mix of data, web content, programming code, textbooks, documents, and streaming data from X.com. What sets Grok 4 apart is how much compute and reinforcement learning it uses during training.
Let’s discuss some of the technicalities of Grok 4:
No official parameter size has been published, but many experts estimate that Grok 4 may exceed 1.7 trillion parameters, placing it among the largest models ever built.
Grok 4 stands out mainly because of its strong results in different types of benchmark tests, including academic tests and business task simulations. According to xAI, the model performs much better than older versions, mostly because it uses more computing power during training and testing, not because of big changes in its design.
The main reason behind Grok 4’s strong performance is scaling. It uses more computing power during training and even more during testing. Simply put, the more resources it gets, the better it works. This is especially clear in its scores on the Humanity’s Last Exam (HLE) benchmark.
Based on xAI’s data, when no tools are used, Grok 4 scores around 26.9% accuracy. When tools like code execution are turned on, the score rises to 41%. In its advanced multi-agent “Heavy” version, it reaches 50.7%, which is more than twice the score of earlier models that don’t use tools.
Grok 4 also performs well on regular STEM-related tests, which are often used to compare powerful language models. Here are some top results:
Benchmark | Top Competing Models | Grok 4 (No Tools) | Grok 4 Heavy |
| GPQA | 79.6–86.4% | 87.5% | 88.9% |
| AIME25 | 75.5–98.8% | 91.7% | 100.0% |
| LCB (Jan–May) | 72.0–74.2% | 79.0% | 79.4% |
| HMMT25 | 58.3–82.5% | 90.0% | 96.7% |
| USAMO25 | 21.7–49.4% | 37.5% | 61.9% |
These are impressive numbers. In most areas, Grok 4 beats Claude Opus, Gemini 2.5 Pro, and GPT-4 (o3). But some people have said that the scores might favor Grok 4 by picking comparison numbers that are easier to beat.
Another tough and less open benchmark is ARC-AGI. It checks how well a model can handle abstract and complex reasoning problems. On ARC-AGI version 1, Grok 4 scores 66.6%, ahead of all known models. On version 2, it scores 15.9%, while Claude 4 Opus scores 8.6%.
These test details aren’t fully available to the public, so the results should be taken with a grain of salt. Still, if they are correct, Grok 4 is doing well in tasks that involve step-by-step thinking and logic.
xAI also tested Grok 4 in a practical simulation called Vending-Bench. This test checks if a model can run a small business, handling inventory, changing prices, talking to suppliers, and more. It's a newer test but gives real-world insights.
Here are the average results over five tries:
Rank | Model | Net Worth | Units Sold |
1 | Grok 4 | $4,694 | 4,569 |
2 | Claude Opus 4 | $2,077 | 1,412 |
3 | Human baseline | $844 | 344 |
4 | Gemini 2.5 Pro | $789 | 356 |
5 | GPT-4 (o3) | $1,843 | 1,363 |
Grok 4 did more than twice as well as its closest rival, both in sales and profits. It also stayed consistent through 300 rounds of simulation, something most models struggle with when planning over long periods.
Grok 4 performs strongly across every benchmark xAI has tested. But scores alone don’t tell the full story. For tasks involving vision, code generation, or real-time handling of complex situations, additional testing is necessary to determine if the model is a suitable fit.
Benchmark / Task | Grok 4 (Heavy) | GPT‑4 / GPT‑4o |
| USAMO (Olympiad math) | 61.9 % (1st place) | Unreported (likely lower) |
| Humanity’s Last Exam (text-only) | 50.7 % | No public score |
| AIME (math) | 100 % | Not public (humans typically 50–70 %) |
| GPQA (physics) | 87 % | Unknown |
| Code (SWE‑Bench) | ~72–75 % | 65–70 % (estimated) |
| General (MMLU, etc.) | Claimed SOTA (“saturated”) | 80–90 % |
Model | Prompt (per 1K tokens) | Completion (per 1K tokens) | Context Window | Source |
| xAI Grok 4 (API) | $0.003 | $0.015 | 256K | xAI Docs |
| GPT‑4 Turbo (128K) | $0.01 | $0.03 | 128K | OpenAI Help |
| GPT‑4 (8K) | $0.03 | $0.06 | 8K | OpenAI Help |
| GPT‑3.5 Turbo (4K) | ~$0.002 (estimated) | ~$0.002 (estimated) | 4K | OpenAI (approx.) |
GPT‑4 API usage is approximately 10x more expensive per input token than Grok 4. While ChatGPT Plus ($20/month) provides access to GPT‑4 with usage limits, Grok’s $30 (basic) and $300 (SuperGrok) plans offer near-unlimited usage for individual users.
Grok 4 is accessible through multiple platforms:
Grok 4 didn’t just bring new features. It started real conversations. As more people tried it out, their reactions showed what made it different, what they liked, and what raised questions. From everyday users to AI experts, many had something to say about how Grok 4 works in the real world.
Many users were impressed with Grok 4’s intelligence, especially in solving logic problems, answering tough math questions, and analyzing long documents. Some also liked the voice interaction feature, which made the experience feel more natural.
What stood out most to users was Grok’s personality. It felt more human, with a witty and slightly rebellious tone. Unlike other AI models that often sound robotic or neutral, Grok came across as more casual and fun to talk to. This made it popular for both serious tasks and more creative or playful chats.
At the same time, a few users said the model could be hard to use without proper guidance. Grok 4 requires good prompt-writing skills to get the best results. Some also found its answers a little unpredictable because of its strong personality.
AI experts were impressed by Grok 4’s benchmark scores. Its performance on complex tests like ARC-AGI and Humanity’s Last Exam showed that it has strong reasoning abilities. However, researchers also pointed out some concerns.
One major issue is the lack of transparency. Grok 4 does not have a public system card or detailed technical report. This makes it harder to understand how it was trained or how safe and fair it really is. Without this information, researchers cannot fully evaluate the model’s strengths and weaknesses.
Another concern is the model’s bias. In many responses, Grok seems to reflect Elon Musk’s personal opinions. When asked political or sensitive questions, its answers sometimes feel one-sided. Experts warn that this could be risky, especially if people rely on Grok for important decisions. They believe AI should be neutral and not show the views of any one person or company.
There is also growing interest in how Grok 4 will respond to changes in Elon Musk’s public relationships. Recently, Musk has had a falling out with Donald Trump, which has created some tension online.
Some people are wondering if Grok’s political responses will start to shift, too. In the past, Grok has reflected some of Musk’s ideas. If Musk’s views change or if his public fights continue, Grok might start to show those changes in its answers.
This could become a big issue, especially with important elections coming up. If Grok is seen as taking sides, it could lose trust among users. Experts say that AI models must be fair and balanced, especially when used in fields like healthcare, education, or finance.
As Grok 4 gains more users, these concerns about bias and fairness will likely become even more important. People want powerful tools, but they also want them to be reliable and neutral.
xAI has revealed an aggressive roadmap:
xAI also plans to expand to major cloud platforms and partner with industries for real-world deployments. Tesla, X, and Optimus robot integration are all on the table.
Grok 4 is not just another language model. It is a serious upgrade in intelligence, logic, and usability. Its performance on exams, math tasks, and simulations shows that it is already leading the next wave of advanced AI. With its real-time web access, multi-agent system, and wide context window, it pushes beyond what GPT-4, Claude, or Gemini currently offer.
But it also comes with big questions about safety, transparency, and values. The world will be watching not just what Grok can do, but how xAI chooses to shape its future.
For now, Grok 4 stands as the most powerful AI model you can use if you can handle both its brilliance and its intelligence.
1. What is the difference between Grok 4 and Grok 4 Heavy?
Grok 4 is a single-agent model, while Grok 4 Heavy uses multiple agents working together to solve the same task. Grok 4 Heavy gives better results on complex problems but is much slower and more expensive.
2. What are Grok 4’s main strengths?
Grok 4 is very good at solving tough logic and math questions. It can handle long pieces of input text, and it performs well in technical use cases like coding, data analysis, and research tasks. Many users also enjoy its natural, more human-like tone, which makes interactions feel less robotic. On key benchmarks like ARC-AGI and Humanity’s Last Exam, it has achieved impressive scores.
3. Is Grok 4 good for everyday tasks like checking the weather or finding local events?
No, Grok 4 is not designed for simple or casual tasks. If you need quick answers for things like the weather, directions, or event suggestions, Grok 3 or other faster models will be a better choice.
4. Can Grok 4 generate code?
Yes, Grok 4 can write and debug code. It works well in developer environments and can help with everything from basic functions to more advanced programming tasks. However, the quality of the output depends on how clearly you write your prompt.
5. Is Grok 4 safe to use in production?
Grok 4 has shown strong results in reasoning and technical performance, but it may not be the right choice for every situation. Since xAI hasn’t shared full technical documentation or a safety overview, some experts recommend testing the model carefully before using it in production systems, especially for sensitive or regulated industries.
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