Introduction
xAI, led by Elon Musk, announced its latest large-scale language model, “Grok 4,” in July 2025. It represents a significant evolution from the previous version, Grok 3 , achieving world-class levels of inference power, mathematical accuracy, and understanding in specialized fields. In particular, “Grok 4 Heavy” introduces cooperative processing by multiple agents , and has recorded results in various benchmarks that far exceed those of previous models.
It also comes equipped with highly practical features such as real-time search and integration with external tools, drawing attention from both corporate and research use cases. This article provides a comprehensive explanation of Grok 4’s basics, performance, pricing plans, and usage, as well as comparisons with other models such as GPT-5, Gemini , and Claude , and case studies. This is a must-read for companies and developers looking to adopt the latest generative AI.
What is Grok 4?
Grok 4 is the latest large-scale language model ( LLM ) released in July 2025 by xAI, a company led by Elon Musk . It represents a significant evolution from its predecessor, Grok 3, with significant improvements in inference power, mathematical accuracy, and response quality in specialized fields. In particular, it has proven its world-class performance by achieving a perfect score on the AIME25 mathematics exam and surpassing other models in complex abstract reasoning tasks.
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Furthermore, Grok 4 Heavy employs cooperative processing by multiple agents, enabling more advanced analysis and solution generation than previous models. It also features real-time search and tool integration, providing answers that reference the latest information and linking with external apps. It is attracting attention as a highly practical AI model that can be widely used in business and research and development.
Comparison with Grok 3
| Grok 3 | Grok 4 | |
| Release year | February 2025 | July 2025 |
| Inference accuracy | Good at math but not so good at abstract reasoning | Top-class accuracy in mathematics and abstract reasoning |
| Long text processing | Less than 100,000 tokens | Supports longer text processing (up to 200,000 tokens) |
| function | Basic Natural Language Processing | Real-time search, external tool integration, and collaborative inference using the Heavy version |
| Expected use area | General Q&A and text generation | Expanding to specialized fields such as research, education, finance, and law |
Grok 4 has evolved in every way compared to its predecessor, the Grok 3. While the Grok 3 had general-purpose natural language processing capabilities, it still had issues with processing long texts and accuracy in specialized fields. In contrast, Grok 4 has significantly improved processing speed and accuracy, dramatically improving mathematical reasoning, code generation, and answering questions in scientific and technological fields.
Additionally, the Grok 4’s use of external information, which was limited in the Grok 3, has been significantly expanded by supporting real-time search and external tool integration. Furthermore, the Heavy version enables highly accurate inference through multi-agent processing, reaching a level comparable to the latest models from other companies. The comparison table below provides a clear overview of the evolution from Grok 3 to Grok 4.
Grok 4 Performance
Grok 4 is a next-generation large-scale language model with performance that far exceeds that of its predecessor, Grok 3. In particular, it has achieved world-class results in mathematical reasoning and abstract thinking tasks, demonstrating its versatility for use in a wide range of fields, including research, education, and business.
Another feature is that it combines high-speed inference with large-scale processing, backed by a powerful computing infrastructure provided by the gigantic supercomputer “Colossus.” Here, we will explain the main performance of Grok 4 from five perspectives.
High-level reasoning and mathematical precision
Grok 4 has demonstrated impressive results in mathematical problems and complex reasoning tasks that previous models struggled with. In particular, on the challenging American mathematics exam AIME25, Grok 4 Heavy achieved a perfect score (100%), while the standard version achieved a score of 91.7%.
This score exceeds that of competing models such as the Claude 4 Opus and Gemini 2.5 Pro, demonstrating the robot’s precision calculations and enhanced logical reasoning. This level of mathematical precision is directly relevant to practical applications that require precise numerical processing, such as financial risk analysis, scientific research, and engineering. While previous generative AI models were said to be strong in natural language processing but weak in mathematics, Grok 4 has significantly broken through this barrier.
High scores on the abstract reasoning bench “Humanity’s Last Exam”
Another feature of Grok 4 is its ability to reason on abstract tasks. In the Humanity’s Last Exam benchmark, designed to measure human cognitive ability, Grok 4 Heavy achieved a high score of 44.4%, while the standard version achieved a high score of 25.4%.
This is an important achievement that demonstrates that AI can go beyond simple information processing and perform abstract thinking similar to that of humans. Conventional models have been considered extremely weak at this type of task, resulting in low accuracy rates and little practical use, but Grok 4 has overcome these limitations. This performance is effective in advanced tasks that go beyond simple QA, such as future prediction, strategy planning, and scenario analysis. Its ability to provide “insights similar to human thinking” is a major advantage in business and policymaking as well.
Powerful AI backend “Colossus”
The outstanding performance of Grok 4 is supported by the supercomputing platform “Colossus” built by xAI. This massive infrastructure, equipped with approximately 200,000 GPUs, enables AI model training and inference processing at incredible speeds.
Large-scale language models handle enormous amounts of parameters, which can often create a bottleneck in the computational resources required for training, but Colossus eliminates this constraint. As a result, Grok 4 can process long sentences and perform complex inference at near-real-time speeds, providing stress-free performance even when deployed in corporate business systems or research settings.
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In other words, it’s not just the evolution of the algorithms that brings out the true potential of Grok 4, but also the performance boost provided by an improved hardware environment.
Benchmark wins on complex real-world tasks
Grok 4 also achieved excellent results in benchmarks that simulate complex real-world tasks. For example, in the “Vending-Bench” task, which tests optimal operation of vending machines, Grok 4 achieved more than twice the score of Claude 4 Opus, demonstrating its high adaptability to practical tasks.
Unlike simple knowledge quizzes or mathematical tests, such benchmarks require the simultaneous consideration of multiple conditions to derive optimal solutions. Grok 4’s results demonstrate that AI can cope with the complex constraints and uncertainties of the workplace, and are expected to be applied in a variety of areas, including logistics, inventory management, and marketing strategies.
In other words, Grok 4 has increased its reliability as an AI that is useful in the real world.
Highly acclaimed across a wide range of fields
Grok 4 has received high praise in a wide range of benchmarks, not just in mathematics and abstract reasoning. Notable examples include 87% success rate on MMLU-Pro and 79.4% success rate on LiveCodeBench, demonstrating world-class performance in knowledge response and programming.
In particular, AI’s high accuracy in bug fixing and code generation has made it increasingly valuable as a development support tool. Its ability to provide accurate answers in specialized fields such as law, medicine, and finance has also earned it high praise, raising expectations from research institutes and companies. Its excellent performance across multiple dimensions indicates that it is not simply specialized AI, but a highly mature general-purpose AI.
Grok 4 Key Features
Grok 4 is not just a high-performance, large-scale language model; it also features a wide range of functions that are easy to use in actual work and research. While conventional AI models excel at knowledge response and text generation, they have issues such as being unable to reflect the latest information, being unable to handle external tools, and lacking accuracy in specialized fields.
Grok 4 overcomes these weaknesses, achieving improved performance through real-time search, tool integration, and reinforcement learning. It also significantly expands the scope of applications, including enterprise-specific knowledge support and cooperative inference by multiple agents in the Heavy version.
Here we will explain the main features of Grok 4 from five perspectives.
Real-time search integration
Grok 4 integrates real-time search functionality to overcome the major challenge of traditional language models: not being able to reflect the latest information. This allows Grok 4 to instantly reference the latest data from the web and social media sites like “X (formerly Twitter)” when a user asks a question, and generate an answer based on that information.
For example, it can also handle information not included in static learning data, such as the latest news, stock prices, and sports game results. This functionality is particularly valuable in the media industry, marketing, and financial trading decision-making, providing highly up-to-date information not available with conventional AI. In other words, Grok 4 can be said to be a model that has made significant advances in terms of knowledge updateability.
Native tool operation capabilities
Grok 4 goes beyond being a simple natural language processing model, and has the “native tool usage ability” to directly operate external APIs and built-in tools. This allows users to simply give instructions in natural language, and the AI will automatically perform operations such as inputting data into spreadsheets, searching databases, and linking with schedule management tools.
Previously, humans had to manually input information obtained from AI into systems, but with Grok 4, the AI itself operates the tools, completing business processes seamlessly. In business, in particular, work efficiency can be significantly improved by delegating report creation and data aggregation to AI, and in the engineering field, it can also be used for automated testing of external applications and code execution support.
Improving inference performance through reinforcement learning
Grok 4 actively incorporates reinforcement learning (RL) in the training phase, which has led to significant improvements in inference performance. While previous models tended to rely on “imitative answers” based on large amounts of training data, Grok 4 has evolved through reinforcement learning to make “more accurate and consistent judgments.”
Specifically, it is designed to provide highly accurate answers to complex mathematical problems, long-form analysis, and ambiguous questions. This improvement is particularly beneficial in areas where accuracy is crucial, such as financial risk assessment, medical diagnostic support, and legal document analysis. In other words, Grok 4 has evolved from an AI that “reproduces learned knowledge” to an AI that “actually thinks and makes decisions.”
Advanced understanding of enterprise-specific
Another major feature of Grok 4 is that it was designed with enterprise use in mind. In addition to general Q&A and text generation, it has the ability to return practical answers in highly specialized fields such as finance, law, medicine, and science. This is because it uses reinforcement learning for specialized domains and is optimized to adapt to real business contexts.
For example, in the financial sector, AI can provide insights that are useful for market analysis and investment decisions, in the legal sector it can review contracts and perform risk analysis, and in healthcare it can provide summaries of research papers and support clinical decisions. These enterprise-ready capabilities demonstrate the evolution of AI from simple generative AI to “AI that can be used in business.” This is a major reason for companies to consider adopting AI as a trusted AI partner.
Cooperative inference by multiple agents (Heavy version)
The “Heavy” version of Grok 4 employs a mechanism in which multiple agents work together to perform inference. This is a method in which AIs process information in parallel, verifying each other’s findings, and arrive at an answer, just as humans work together as a team to arrive at the optimal solution.
While conventional single-agent models have the weakness of being prone to incorrect answers or bias in complex tasks, Grok 4 Heavy significantly reduces this risk by using multiple agents for multifaceted consideration. As a result, it has outperformed other models in mathematical reasoning and abstract decision-making tasks.
This makes Grok 4 Heavy a next-generation model suitable for advanced decision-making support in areas such as research and development and policy formulation.
Grok 4 Pricing Plans
Grok 4 offers multiple pricing plans to suit user needs. It offers a wide range of options, from a free plan for individual users who want to try out the basic functions, to paid plans that offer access to the latest model, Grok 4, and the advanced Heavy version. Even with the free plan, you can use the text generation and task management features of the previous version, Grok 3, but advanced features such as long-text processing and real-time search are limited.
Meanwhile, the $30/month “SuperGrok” plan includes Grok 4, unlocking features directly relevant to business operations, such as large-scale context processing, voice interaction, and image recognition. Furthermore, the top-tier “SuperGrok Heavy” plan includes Grok 4 Heavy, early access to new features, and dedicated support, making it ideal for use in research institutions and large corporations.
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One of the attractions of the Grok series is that it offers a flexible pricing structure that can be selected depending on the purpose and scale of use.
| Plan Name | Monthly fee | Available Models | Key Features |
| Basic (Free) | $0 | Grok 3 | Access restricted / Context memory / Image generation model (Aurora) / Project and task management |
| SuperGrok | $30/month | Grok 4, Grok 3 | Grok 4 available / 128,000 token context memory / Voice interaction and vision functions / All features included in the Free plan |
| SuperGrok Heavy | $300/month | Grok 4 Heavy, Grok 4, Grok 3 | Exclusive access to Grok 4 Heavy / Early access to new features / Exclusive support / Includes all SuperGrok features |
How to use Grok 4
Grok 4 is simple to use and designed for a wide range of uses, from individual users to businesses.
First, access the app from the official xAI website or your X (formerly Twitter) premium account, select the plan you want to use (Free/SuperGrok/SuperGrok Heavy), link your account, and you’re ready to go.
In addition to the traditional chat format, actual operation also allows for dialogue using voice input and images, providing a variety of interfaces to meet user needs.
For example, in business use, tasks such as “summarizing meeting minutes,” “analyzing market data,” and “automatic report generation” can be performed simply by issuing commands in natural language. Furthermore, real-time search integration allows answers to be provided while incorporating the latest news and social media information, making it particularly useful for marketing and investment decisions where freshness of information is important.
In addition, by using the external tool operation function, you can directly register calendars and search databases, thereby improving work efficiency beyond that of a simple assistant. If you choose the Heavy version, you can smoothly handle complex inference tasks and large-scale data analysis, meeting the advanced needs of research and development and companies.
Comparing Grok 4 with other generative AI models
To understand the true value of Grok 4, it is essential to compare it with other cutting-edge generative AI models. Currently, the industry leaders are OpenAI’s GPT-5, Google’s Gemini 2.5 Pro, and Anthropic’s Claude Sonnet 4. While these models all possess advanced inference capabilities and a wide range of applications, they each have their own strengths and characteristics. GPT-5 excels in versatility and long-text processing, and its appeal lies in its rich developer APIs and ecosystem.
Gemini 2.5 Pro leverages Google’s strengths in search and multimodal collaboration, excelling in providing answers incorporating the latest information. Claude Sonnet 4 is characterized by its design that emphasizes ethics and safety, and is highly regarded for its reliability in business and educational use. Meanwhile, Grok 4 has achieved impressive results in mathematics and abstract reasoning benchmarks, and further enhances its practicality by integrating real-time search and tool operation functions.
Overall, Grok 4 is positioned as a balanced model that combines advanced thinking capabilities with practical responsiveness, and is particularly differentiated from other companies’ models in use cases that require specialized applications or the latest information.
| Model name | Developer | Main Strengths | Weaknesses and limitations |
| Grok 4 | xAI (Elon Musk) | Strong in mathematics and abstract reasoning / Real-time search / External tool operation / Heavy version collaborative reasoning | The ecosystem is still limited |
| GPT-5 | OpenAI | Versatile and long text processing / Extensive API for developers / Wide range of usage | Depends on external plugins to get the latest information |
| Gemini 2.5 Pro | Google DeepMind | Strengths in search and multimodal collaboration/Affinity with cloud services | Some functions depend on the Google environment |
| Claude Sonnet 4 | Anthropic | Emphasis on safety and ethics/High consistency in conversation | Computational power and mathematical reasoning are inferior to other models |
3 Use Cases of Grok 4
Although Grok 4 has only just been released, it has already been used by many users on X (formerly Twitter), and its capabilities have been a hot topic. A wide variety of use cases have been shared, from marketing information gathering to entertainment experiences and even expert-level advanced reasoning. In particular, the actual feedback from users provides a glimpse into the differences between Grok 4 and the Heavy version, as well as its practical and business potential.
Here, we will introduce three popular cases on X to give you a more concrete idea of how Grok 4 can be used.
Grok 4 streamlines marketing research
One user said, “Super Grok helps us organize research information smoothly within X,” and its use in information gathering through social media and in marketing is gaining attention. In particular, because the AI organizes and summarizes the vast amount of posts and opinions, market research and trend analysis, which would previously have taken time, can be carried out efficiently.
Users also point out that “Grok 4 Heavy, the heavy version, is unnecessary unless you’re doing academic analysis,” suggesting that the standard version of Grok 4 provides sufficient performance for normal marketing use. The fact that it can be used at a practical level without having to choose an expensive plan is a key point that makes it easy for many companies to adopt.
Grok 4’s presence symbolizes the dawn of AI
Another user, referring to Elon Musk’s Grok 4 demo video, commented, “We’re in the early days of AI, and it offers business opportunities beyond the Internet.” This comment goes beyond simply showcasing features; it symbolizes the fact that the arrival of Grok 4 signals a major transformation in society and business. The potential of generative AI is predicted to extend beyond the fields of information processing and efficiency, leading to the creation of new industries and markets.
For the younger generation in particular, utilizing cutting-edge models like the Grok 4 opens up new opportunities for new businesses and startups, highlighting the potential for building the foundation for future AI-driven businesses.
Expert-level responses through multi-agent collaboration
The Heavy version’s “multi-agent collaborative reasoning” feature is attracting a lot of attention, as evidenced by user feedback such as, “Grok 4 feels like it’s answering at an expert level. Multiple agents are working together to answer.” This mechanism makes it possible to solve complex problems and perform multifaceted analyses that were difficult with conventional single models, producing results that are as if a team of humans were discussing and reaching a conclusion.
Some users have commented that it is “getting closer to Doraemon,” demonstrating its evolution as a next-generation AI assistant. From a business perspective, this highly accurate inference will be directly linked to advanced decision-making support in areas such as strategy planning and market forecasting, which is expected to strengthen a company’s competitiveness.
Issues with Grok4 and points to note
Grok 4 is a generative AI model with overwhelming performance and innovative features, but there are issues to be aware of when implementing it, in addition to its benefits. In particular, restrictions on the fee structure and usage environment, output accuracy and ethical considerations, and even risks associated with handling external information cannot be overlooked in business or research. By understanding these issues before operating it, you can maximize the strengths of Grok 4 while minimizing risks. Here, we will explain in detail five major issues.
High usage costs
One of the major issues with Grok 4 is its cost. The free plan mainly includes the older Grok 3 model, and to fully utilize the latest Grok 4, you need to subscribe to the “SuperGrok” plan or higher, which costs $30 per month. The even more advanced “Heavy” version is expensive, costing $300 per month, making it a high hurdle for individual users and small and medium-sized businesses to adopt.
In particular, in cases where long-term use is expected, such as research and development or marketing, costs may increase depending on the frequency of use. Therefore, when implementing, it is important to determine the return on investment (ROI) and select a plan that suits your purpose.
Lack of ecosystem maturity
Another thing to keep in mind is the maturity of the ecosystem. OpenAI’s GPT series and Google Gemini already have a wide range of plugins and APIs, making integration into corporate systems easy. Grok 4, on the other hand, has only just been released, so external tools and developer environments are not yet fully developed. Developers will need to customize and integrate it on their own, which can be a hurdle for companies with limited technical resources to adopt it.
Of course, there is a good chance that this will improve in future updates, but at present it cannot be said to be a model that can be quickly integrated into a wide range of applications, and this point needs to be taken into consideration when planning its use.
Output reliability
Although Grok 4 has advanced reasoning capabilities, it still faces challenges in the reliability of its output. It has not yet completely overcome the problem of “hallucination,” a common problem in generative AI in general, where it confidently presents information that is not factual. For example, there are cases where Grok 4 contains errors in the handling of numbers and proper nouns in specialized fields, which poses a risk of leading to incorrect decision-making if used as is.
Therefore, when using it for business or research, it is essential to combine it with a human content check and verification process. While taking advantage of the strengths of Grok 4, it is necessary to establish a system for performing auxiliary verification work.
Ethical and safety concerns
While the Grok 4 offers powerful capabilities, some have pointed out that it is not sufficiently regulated compared to other companies’ models in terms of ethics and safety. While Anthropic’s Claude series is characterized by its design with a strong focus on safety and ethics, the Grok 4’s real-time search and external information integration features increase the risk of picking up inappropriate content or biased information.
There are also concerns that AI could be used to spread discriminatory or offensive language and fake news. When companies introduce AI into their business operations, they must formulate usage guidelines and compliance rules, and implement mechanisms for filtering and auditing rather than simply adopting the output of AI.
Information Dependence and Regulatory Risk
Grok 4’s major strength is its integrated real-time search, allowing users to access the latest web information and social media posts. However, this feature also carries risks. The internet contains not only reliable information, but also misinformation and intentional fake news, and the AI may incorporate these and provide incorrect answers.
In fact, at one point, it was reported that Grok 4 was excessively referencing Elon Musk’s personal posts and outputting biased answers. This issue has now been corrected by xAI (reference: INTERNET Watch ).
Additionally, using external data also presents legal risks related to copyright and terms of use. Caution is required, especially in regions with stricter regulations, such as Europe, as there is a possibility of violating legal restrictions. When companies adopt such data, it is essential to manage risks by verifying the reliability of information sources and establishing mechanisms for compliance with laws and regulations.
summary
Grok 4 is a cutting-edge generative AI model that boasts impressive performance in mathematics and abstract reasoning, practical features like real-time search and tool operation, and collaborative reasoning in the Heavy version. Based on pricing plans and use cases, it has the potential to be used in a wide range of applications, from advanced research and business analysis to streamlining daily operations. However, due to issues such as cost, safety, and output accuracy, an appropriate operational framework is essential for implementation.
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FAQ
1. Is Grok 4 available now?
Yes. Grok 4 was announced in July 2025 and is available via X Premium/Premium+, SuperGrok plans, and the xAI API in a phased rollout.
2. Is Grok 4 better than Chat GPT?
It leads many public benchmarks for reasoning and tool use in third‑party rundowns, but superiority depends on the task, tier (e.g., Heavy), and test methodology, so results vary by use case.
3. What is new Grok 4?
It adds larger context windows, native tool use, multimodal capabilities, stronger reasoning, and multi‑agent “Heavy” options for tougher tasks and lower hallucinations.
4. How to get access to Grok 4?
Subscribe to X Premium/Premium+ and select Grok, join SuperGrok plans on grok.com, or use the xAI API as rollout expands during 2025.
5. Is Grok free in Australia?
Basic Grok access on X became broadly free in 2025, but Grok 4’s higher limits and newest features are tied to paid tiers; availability can vary by plan and region.
6. How much does Grok 4 cost per month?
X Premium is about $8/month (monthly) or ~$7/month (annual), Premium+ around $40/month (monthly) or ~$33/month (annual), with SuperGrok and API options priced higher for advanced features.
7. Why is Grok 4 not free?
Advanced features, higher rate limits, and priority access require paid subscriptions to cover compute and provide faster pipelines; free access typically has lower limits.
8. Who owns Grok 4?
xAI, the company founded by Elon Musk, develops and owns Grok 4 and distributes it through X subscriptions and the xAI API.
9. Can I use Grok AI for free?
Yes, basic access is free on X since early 2025, but Grok 4’s best capabilities generally require paid tiers or developer API access during the phased rollout.
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