Senior Applied Scientist
Share:
Introduction
Just another model hitting the market. Grok 3 has arrived, and it is causing a stir in the AI community. This model claims to surpass industry giants like OpenAI's GPT-4o and Google's Gemini in domains including mathematics, science, and programming. However, can it deliver on these remarkable claims? Let's look at what Grok 3 has to offer and see how well it works in the real world.
Grok 3
Grok 3 is an advanced AI model made by xAI that does really well in science, math, thinking, and written language. It surpasses notable competitors such as GPT-4o and Claude 3.5 Sonnet, achieving a respectable 1400 ELO on LMArena, a platform that allows users to evaluate the performance of AI. This model is equipped with innovative tools, such as DeepSearch, which enhances research, and Big Brain Mode, which is designed to handle challenging tasks.
It can handle a huge context window with 1 million tokens, which means it can process a lot of text at once. People are concerned about its uncensored approach, which provides a significant amount of freedom but also incites safety discussions. xAI is showing initiative in keeping it responsible and safe. This AI will change the way people learn to code, do research, and learning. What about it really interests you?
This is a brief overview:
Performs highly in science, computing, math, and reasoning assignments.
On LMArena, the score is 1400 ELO, surpassing GPT-4o and Claude 3.5 Sonnet.
Deep Search is used for conducting in-depth research, while Big Brain Mode is used for taking on significant challenges.
Manages the processing of 1 million tokens simultaneously for the purpose of large-scale text processing.
Uncensored approach sparks controversy, but safety measures exist.
Fantastic for students, researchers, and developers.
Let’s deep dive into the technical foundation and other unique features.
Technical Foundations
Grok 3's technological underpinnings are derived from its training on the Colossus supercluster, a vast infrastructure of 100,000 NVIDIA H100 GPUs generating over 200 million GPU hours of processing capability—ten times more than Grok 2. This scale manages difficult chores at amazing speeds and lets parallel training take place.
Architecture: The compute scale suggests that it may be a transformer-based model or a combination of experts, although the precise details, such as parameter count, are not publicly disclosed. The model has probably hundreds of billions of parameters, which can be guessed from the fact that it was trained on the Colossus supercluster, which has 10 times the computing power of the previous best models.
Context Window: Grok 3 is exceptional in long-context tasks such as LOFT (128k) due to its 1 million token context window, which is eight times larger than previous models. This is demonstrated in benchmark comparisons. This enables it to efficiently manage complex queries, multi-turn conversations, and lengthy documents. Technically, this is handled by advanced attention methods that might use sparse attention or other improvements to handle such a large scale. This has implications for tasks that need to know a lot about the context, like analyzing court documents or doing long research projects.
Training: Grok 3 was trained on the Colossus supercluster and uses more than 100,000 Nvidia H100 GPUs to achieve size that has never been seen before. It uses reinforcement learning (RL) at an unprecedented level to refine reasoning, a process that involves iterative feedback to enhance accuracy in complex tasks.
What makes it unique?
Real-Time Data Access via X and Web
Grok 3 stands out because it incorporates real-time data access into its operations. It can pull real-time data from the internet via its agent and is naturally linked to X. People can ask things like, "How are X users reacting to the launch of Grok 3?" and get replies based on what other people have said and what's popular right now. Grok stays current by using his constant connection to get news, stock prices, and social media trends. Grok is a mix of a language model and a search engine. It makes sure that its results are based on the most up-to-date information.
Think Mode (Chain-of-Thought Transparency)
Grok 3 incorporates a "Think" mode that shows its internal logic as it solves problems. When turned on, it provides the ultimate solution after displaying a pseudo-code that consists of a sequence of intermediate reasoning processes. This transparency offers valuable insights into the model's approach to and resolution of extremely complex tasks. This feature is helpful for both developers and users because it lets them fix interactively and see how decisions are made more clearly.
Big Brain Mode (Dynamic Compute Allocation)
The Big Brain mode is intended to manage tasks that require higher computational capacity. Grok 3 dynamically allocates more resources in this mode to ensure more accuracy on difficult searches. It is capable of expanding its compute capabilities to cross-check and refine its responses, potentially by using additional GPU clusters or multiple reasoning processes. The feature makes sure that simple questions are answered quickly, but more work goes into solving complicated problems.
Grok Agents and Tool Use
Grok 3 is not a separate chatbot, it is designed to function as an intelligent agent and interact with external tools. Its DeepSearch subsystem is capable of conducting web searches, calling APIs, executing code, and incorporating the results into its reasoning process. This tool-using capability enables it to function as a comprehensive research assistant, capable of tasks such as synthesizing data into coherent reports or obtaining historical stock prices.
Performance and Benchmark Results
Grok 3 provides quick, high-quality responses when reasoning is disabled. Its ability is compared to that of top models, and the specific results show what it does well:
Table 1: Benchmark Results: Source
Chatbot Arena Elo
Grok 3's Elo score of approximately 1402 in head-to-head comparisons in LMSYS's Chatbot Arena was the highest on the global leader board, surpassing both OpenAI's and Anthropic's most advanced models. This score, which is considerably higher than the typical range of 1230–1300 for GPT-4, substantiates xAI's assertion that it demonstrates exceptional performance in both academic benchmarks and real-world user preferences.
Figure 1: Chatbot Arena Score: Source
Mathematical Reasoning
Grok 3 excelled in math and logic problems, achieving a score of 93.3% on the 2025 AIME. This score was achieved by almost flawlessly resolving college-level competition math questions. Grok 3 mini got an excellent 95.8% on AIME 2024, which shows that its reasoning training works very well. It can think for seconds to minutes, correcting errors and exploring alternatives.
Figure 2: AIME score: source
Knowledge and QA
Grok 3 achieved a score of approximately 79.9% on comprehensive knowledge assessments like MMLU-Pro, which was marginally higher than Gemini 2.0's score of 79.1% and Claude 3.5's score of 78.0%. Grok 3 is better at solving knowledge-based questions because it does well in 57 topics, such as history, science, and law, and has a built-in search for up-to-date references.
Coding and Technical Tasks
Grok 3 outperformed GPT-4 and Claude in these comparisons, achieving 79.4% on xAI's LiveCodeBench (LCB) and 57.0% on a stricter metric. This model was designed to manage coding queries. Also, Grok 3 can code about 1.2 times faster than GPT-4, and it can run code in Think mode to check or improve results, which lowers the number of mistakes in final solutions.
Long-Context Tasks
Grok 3, with a token window of up to 1M tokens, is capable of processing extensive documents, obtaining a state-of-the-art accuracy of approximately 83.3% on the LOFT 128k benchmark. It is capable of reading and synthesizing information from hundreds of pages, which renders it highly effective for complex retrieval and summarization tasks.
How to access Grok 3?
Grok 3 is currently unavailable via API. It is compatible with an X Premium+ subscription, which is priced at $40 per month. Additionally, the Grok application is available for installation on both iOS and Android platforms. It aslo comes with web support.
Future AGI provides you with real-time, clear insights into the efficacy of your xAI app. The service provides a user-friendly dashboard that displays critical metrics and alerts, enabling you to promptly identify and resolve any issues. It offers interactive statistics as well as simple tools to enable the monitoring of error trends and usage. This configuration enables you to promptly address any glitches and ensures that your application functions seamlessly.
Conclusion
To sum up, the release of Grok 3 is a clear indication to the AI community that the age of thinking agents has here. The model's capacity to consider in stages, verify its function, and remain current in real-time provides a glimpse of the operation of future AI systems. Taking a look at it next to GPT-4, Claude 3, and Gemini 1.5, we can see a lot of new ideas. Each model adds something different to the goal of making AI more general and powerful, whether it's safety, multimodality, scale, or tool use.
In 2025 Grok 3 goes toe-to-toe with GPT-4, Claude 3, and Gemini 1.5 adding its own taste of intelligence to the mix. Its deep technical skills in thinking and long-context handling, along with its open integration mindset, could pave the way for the first wave of AGI systems that are both very powerful and easy for many people to access.
More By
Rishav Hada
