### What is Grok 3? Grok 3 is the latest AI model from xAI, designed for superior reasoning, mathematics, coding, and instruction-following. It's trained on a powerful supercomputer, making it outperform many competitors in benchmarks like AIME’24 and GPQA.



### Key Points
- Grok 3 is xAI's advanced AI model with strong reasoning and extensive knowledge.
- Access it via X Premium, Premium+ subscriptions, or the xAI API for developers.
- Sample programs show how to use it with Python libraries like Anthropic SDK and OpenAI.

### How to Access Grok 3
You can use Grok 3 through X Premium or Premium+ plans, available at [https://x.com/i/grok](https://x.com/i/grok) and [https://grok.com](https://grok.com). Developers can integrate it using the xAI API, which is compatible with OpenAI and Anthropic SDKs, making it easy to start.

### Sample Programs
Here are examples using Python to interact with Grok 3 via the API:

- **Anthropic SDK Example**:
  ```python
  from anthropic import Anthropic
  client = Anthropic(api_key="your_api_key", base_url="https://api.x.ai")
  message = client.messages.create(model="grok-beta", max_tokens=128, system="You are a tutor", messages=[{"role": "user", "content": "Explain adverbs vs. adjectives"}])
  print(message.content[0].text)
  ```

- **OpenAI Python Package Example**:
  ```python
  from openai import OpenAI
  client = OpenAI(api_key="your_api_key", base_url="https://api.x.ai/v1")
  completion = client.chat.completions.create(model="grok-beta", messages=[{"role": "system", "content": "You are a tutor"}, {"role": "user", "content": "Explain adverbs vs. adjectives"}])
  print(completion.choices[0].message.content)
  ```

Replace "your_api_key" with your actual xAI API key. These examples show how to ask Grok 3 educational questions, but you can adapt them for other tasks.

### Surprising Detail: Massive Context Window
What's surprising is Grok 3 can handle a 1 million token context window, which is 8 times larger than previous models, making it great for processing long documents.

---

### Comprehensive Overview of Grok 3 and Sample Programs

This section provides an in-depth exploration of Grok 3, xAI's latest AI model, detailing its features, capabilities, access methods, and practical sample programs for integration. The analysis is grounded in recent web searches and official documentation, ensuring a thorough understanding for developers and enthusiasts alike.

#### Background and Development

Grok 3, unveiled by xAI in February 2025, represents a significant advancement in AI technology, blending strong reasoning with extensive pretraining knowledge. It was trained on the Colossus supercluster, utilizing 10 times the compute power of previous state-of-the-art models, as detailed in the official blog post at [https://x.ai/blog/grok-3](https://x.ai/blog/grok-3). This training enables Grok 3 to excel in reasoning, mathematics, coding, world knowledge, and instruction-following tasks, positioning it as a competitor to models like OpenAI's o1, DeepSeek's R1, and others.

Elon Musk, founder of xAI, highlighted in an X post and various media reports, such as [Reuters](https://www.reuters.com/technology/artificial-intelligence/elon-musk-says-grok-3-final-stages-outperforming-all-chatbots-2025-02-13/), that Grok 3 is in its final stages and outperforms all known chatbots, with a release anticipated shortly after February 2025. This development underscores xAI's ambition to challenge leading AI platforms like OpenAI and Google, leveraging a new data center in Tennessee with around 200,000 GPUs, as noted in [TechCrunch](https://techcrunch.com/2025/02/17/elon-musks-ai-company-xai-releases-its-latest-flagship-ai-grok-3/).

#### Features and Capabilities

Grok 3's capabilities are extensive, as outlined in the blog post at [https://x.ai/blog/grok-3](https://x.ai/blog/grok-3). Its key features include:

- **Reasoning and Learning**: Utilizes large-scale reinforcement learning (RL) for advanced reasoning, thinking for seconds to minutes, correcting errors, and exploring alternatives. This is evident in its Elo score of 1402 in the Chatbot Arena, a significant metric for conversational AI performance.
- **Benchmark Performance**: Grok 3 leads across diverse academic benchmarks, with detailed results provided in the following table:

| Benchmark        | Grok 3 Beta | Grok 3 mini Beta | GPT-4o | Gemini 2.0 Pro | DeepSeek-V3 | Claude 3.5 Sonnet |
|------------------|-------------|------------------|--------|----------------|-------------|-------------------|
| AIME’24          | 52.2%       | 39.7%            | 9.3%   | —              | 39.2%       | 16.0%             |
| GPQA             | 75.4%       | 66.2%            | 53.6%  | 64.7%          | 59.1%       | 65.0%             |
| LCB              | 57.0%       | 41.5%            | 32.3%  | 36.0%          | 33.1%       | 40.2%             |
| MMLU-pro         | 79.9%       | 78.9%            | 72.6%  | 79.1%          | 75.9%       | 78.0%             |
| LOFT (128k)      | 83.3%       | 83.1%            | 78.0%  | 75.6%          | —           | 69.9%             |
| SimpleQA         | 43.6%       | 21.7%            | 38.2%  | 44.3%          | 24.9%       | 28.4%             |
| MMMU             | 73.2%       | 69.4%            | 69.1%  | 72.7%          | —           | 70.4%             |
| EgoSchema        | 74.5%       | 74.3%            | 72.2%  | 71.9%          | —           | —                 |

Specific achievements include Grok 3 (Think) reaching 93.3% on AIME 2025, 84.6% on GPQA, and 79.4% on LiveCodeBench with cons@64, while Grok 3 mini achieved 95.8% on AIME 2024 and 80.4% on LiveCodeBench, optimized for cost-efficient STEM tasks.

- **Context Window**: With a 1 million token context window, 8 times larger than previous models, Grok 3 excels in long-context retrieval-augmented generation (RAG) use cases, achieving state-of-the-art accuracy on the LOFT (128k) benchmark, averaging across 12 diverse tasks.

- **Agent Capabilities**: Introduces `DeepSearch`, a next-generation search engine that synthesizes information, reasons about conflicts, and provides concise reports, with internet access and code interpreters, as mentioned in [CNBC](https://www.cnbc.com/2025/02/18/elon-musk-xai-grok-3-model-release-ai-competition-.html).

- **Modes and Efficiency**: Offers `Think` mode for multi-step reasoning and `Big Brain` mode for demanding tasks, with Grok 3 mini providing a cost-efficient alternative for developers, as noted in [DataCamp](https://www.datacamp.com/blog/grok-3).

#### Access Methods

Accessing Grok 3 is facilitated through subscription plans and API integration, as detailed in various sources:

- **Subscription Plans**: Available to X Premium and Premium+ users, accessible via [https://x.com/i/grok](https://x.com/i/grok) and [https://grok.com](https://grok.com), with higher limits for Premium+ users including `Think` and `DeepSearch` features, as per the blog post at [https://x.ai/blog/grok-3](https://x.ai/blog/grok-3).

- **API Access**: The xAI API, currently in beta with the model named "grok-beta," is compatible with OpenAI and Anthropic SDKs, making migration straightforward by changing the base URL to [https://api.x.ai/v1](https://api.x.ai/v1) and using an xAI API key, as described in [xAI API](https://x.ai/api). Developers can sign up for early access and receive $25 monthly credits until the end of 2024, with ongoing updates expected, as noted in [Medium](https://medium.com/@piyushkashyap045/how-to-leverage-xai-api-for-your-projects-a-step-by-step-guide-2f2ae6bf4f9f).

The API onboarding is user-friendly, with immediate key provisioning and curl code samples, reducing time-to-first-call, as highlighted in [Zuplo Blog](https://zuplo.com/blog/2024/10/21/xai-rest-api-review).

#### Sample Programs and Integration

To assist developers, sample programs using the xAI API are provided, sourced from a tutorial at [https://lablab.ai/t/xai-beginner-tutorial](https://lablab.ai/t/xai-beginner-tutorial). These examples demonstrate integration using various Python libraries, with the model specified as "grok-beta," assumed to be Grok 3 given the timing of its release in February 2025. All samples require an API key, which can be obtained via the xAI console, and are set up using `userdata.get('XAI_API_KEY')` or direct input.

The following table summarizes the sample programs:

| Method                     | Sample Code Description                                                                 | Example Use Case                          |
|----------------------------|-----------------------------------------------------------------------------------------|-------------------------------------------|
| Anthropic SDK              | Uses Anthropic client to create messages, compatible with xAI API, prints response text | Educational queries, e.g., grammar help   |
| OpenAI Python Package      | Uses OpenAI client with modified base URL, prints completion response                   | General conversational tasks              |
| LangChain-OpenAI           | Integrates with LangChain, sets environment variables, prints AI-generated story       | Creative writing, narrative generation    |
| Python requests Library    | Makes HTTP POST request, handles JSON data, prints response content                    | Custom API calls, flexible implementation |

Specific code snippets include:

- **Anthropic SDK**:
  ```python
  from anthropic import Anthropic
  client = Anthropic(api_key=api_key, base_url="https://api.x.ai")
  message = client.messages.create(model="grok-beta", max_tokens=128, system="You are a top-notch English tutor, guide me appropriately", messages=[{"role": "user", "content": "How do I differentiate between an adverb and an adjective?"}])
  print(message.content[0].text)
  ```

- **OpenAI Python Package**:
  ```python
  from openai import OpenAI
  client = OpenAI(api_key=api_key, base_url="https://api.x.ai/v1")
  completion = client.chat.completions.create(model="grok-beta", messages=[{"role": "system", "content": "You are a top-notch English tutor, guide me appropriately"}, {"role": "user", "content": "How do I differentiate between an adverb and an adjective?"}])
  print(completion.choices[0].message.content)
  ```

- **LangChain-OpenAI**:
  ```python
  from langchain_openai import OpenAI
  import os
  os.environ["OPENAI_API_KEY"] = "your_xai_api_key"
  os.environ["OPENAI_API_BASE"] = "https://api.x.ai/v1"
  llm = OpenAI(model="grok-beta", max_tokens=50)
  prompt = "Write a story about a brave knight."
  output = llm(prompt)
  print(f"AI-generated response:n{output}")
  ```

- **Python requests Library**:
  ```python
  import requests
  url = "https://api.x.ai/v1/chat/completions"
  headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
  data = {"model": "grok-beta", "messages": [{"role": "system", "content": "You are a top-notch English tutor, guide me appropriately"}, {"role": "user", "content": "Explain intonations to me"}], "stream": False, "temperature": 0}
  response = requests.post(url, headers=headers, json=data)
  result = response.json()
  print(result['choices'][0]['message']['content'])
  ```

These samples illustrate how to set up API calls for various tasks, from educational assistance to creative writing, with error handling and security best practices recommended, such as using environment variables for API keys, as noted in [Medium](https://medium.com/@piyushkashyap045/how-to-leverage-xai-api-for-your-projects-a-step-by-step-guide-2f2ae6bf4f9f).

#### Future Prospects and Additional Resources

xAI plans ongoing training with frequent updates, new features in the Enterprise API including tool use, code execution, and advanced agent capabilities, focusing on scalable oversight and adversarial robustness, as per the RMF draft at [https://x.ai/documents/2025.02.20-RMF-Draft.pdf](https://x.ai/documents/2025.02.20-RMF-Draft.pdf). Career opportunities are also available at [https://x.ai/careers](https://x.ai/careers).

For further exploration, developers can refer to:

- Official xAI Website: [https://x.ai](https://x.ai)
- Grok 3 Blog Post: [https://x.ai/blog/grok-3](https://x.ai/blog/grok-3)
- xAI API Documentation: [https://x.ai/api](https://x.ai/api)
- Developer Tutorials: [https://lablab.ai/t/xai-beginner-tutorial](https://lablab.ai/t/xai-beginner-tutorial)

This comprehensive guide ensures users have all necessary details to leverage Grok 3 effectively, supported by empirical data and practical examples.

#### Key Citations
- [Grok 3 Beta The Age of Reasoning Agents](https://x.ai/blog/grok-3)
- [Elon Musk says Grok 3 in final stages, outperforming all chatbots Reuters](https://www.reuters.com/technology/artificial-intelligence/elon-musk-says-grok-3-final-stages-outperforming-all-chatbots-2025-02-13/)
- [Elon Musks Grok 3 Performance, How to Access, and More](https://www.analyticsvidhya.com/blog/2025/02/grok-3/)
- [Elon Musks Scary Smart Grok 3 ReleaseWhat You Need To Know](https://www.forbes.com/sites/larsdaniel/2025/02/16/elon-musks-scary-smart-grok-3-release--what-you-need-to-know/)
- [Elon Musk debuts Grok 3, an AI model that he says outperforms ChatGPT and DeepSeek CNN Business](https://www.cnn.com/2025/02/18/tech/grok-3-release-elon-musk/index.html)
- [Grok 3 Features, Access, O1 and R1 Comparison More DataCamp](https://www.datacamp.com/blog/grok-3)
- [Elon Musks xAI releases its latest flagship model, Grok 3 TechCrunch](https://techcrunch.com/2025/02/17/elon-musks-ai-company-xai-releases-its-latest-flagship-ai-grok-3/)
- [Musks xAI releases artificial intelligence model Grok 3, claims better performance than rivals in early testing](https://www.cnbc.com/2025/02/18/elon-musk-xai-grok-3-model-release-ai-competition-.html)
- [xAI Website](https://x.ai/)
- [Musk's xAI Launches Grok 3 Here's What You Need to Know CNET](https://www.cnet.com/tech/services-and-software/musks-xai-launches-grok-3-heres-what-you-need-to-know/)
- [API xAI](https://x.ai/api)
- [How to Leverage xAI API for Your Projects A Step-by-Step Guide Medium](https://medium.com/@piyushkashyap045/how-to-leverage-xai-api-for-your-projects-a-step-by-step-guide-2f2ae6bf4f9f)
- [xAI REST API Review Zuplo Blog](https://zuplo.com/blog/2024/10/21/xai-rest-api-review)
- [Overview xAI Docs](https://docs.x.ai/docs/overview)
- [Getting Started with xAIs Grok API Your First AI Integration tutorial](https://lablab.ai/t/xai-beginner-tutorial)
- [xAI LangChain](https://python.langchain.com/docs/integrations/providers/xai/)
- [Overview of xAI Grok How to Use Its API](https://apidog.com/blog/xai-grok-api/)
- [xAI API General Access](https://x.ai/blog/api)
- [Getting started xAI Developer Platform](https://developers.x.ai/python-sdk/)
- [API xAI Developer Platform](https://developers.x.ai/api/)
- [Welcome to the xAI documentation](https://docs.x.ai/docs)