Certain grok models can accept both text AND images as an input. For example: ... import os from xai_sdk import Client from xai_sdk.chat import user, image client = Client( api_key=os.getenv("XAI_API_KEY"), timeout=3600, # Override default timeout with longer timeout for reasoning models ) chat = client.chat.create(model="grok-4") chat.append( user( "What's in this image?", image("https://science.nasa.gov/wp-content/uploads/2023/09/web-first-images-release.png") ) ) response = chat.sample() print(response.content)

Manage your project API keys.

Grok is our flagship AI model designed to deliver truthful, insightful answers. ... Create an API Key and make your first request.

January 2, 2025 - Below the welcome message, you should see a small text block that reads, “Manage API keys.” Click on this.

May 1, 2025 - To use the API, we need to buy credits. Using prepaid credits rather than automatic invoice billing is recommended in the beginning, as it is a good safeguard against unexpected costs. You can buy tokens and get an overview of your usage in the xAI console ...

Our API is compatible with OpenAI and Anthropic’s SDKs. Migrating is as easy as generating an API key and changing a URL.Start building · Installing Grok...

May 15, 2025 - The API supports a context window of up to 131,072 tokens, though earlier claims suggested Grok 3 could handle 1 million tokens, which is not yet reflected in the API. The API is accessible via the xAI Console, where developers can generate API keys and manage usage.

curl --location --request POST 'https://api.x.ai/v1/chat/completions' \ --header 'Authorization: Bearer ' \ --header 'Content-Type: application/json' \ --data-raw '{ "messages": [ { "role": "system", "content": "You are Grok, a chatbot inspired by the Hitchhikers Guide to the Galaxy."

July 15, 2025 - Although its context window size almost doubled in comparison to its predecessor, Grok 4 is priced exactly the same as the standard Grok 3 model. You’ll pay $3 for every million input tokens and $15 for every million output tokens. To access the API, you’ll need to purchase credits. Starting out, it’s wise to use prepaid credits instead of automatic billing—this helps you avoid surprise charges. You can buy tokens and track your usage in the xAI console, under Invoices > Credits.

async function main() { const response = await fetch('https://api.aimlapi.com/v1/chat/completions', { method: 'POST', headers: { 'Authorization': 'Bearer <YOUR_AIMLAPI_KEY>', 'Content-Type': 'application/json', }, body: JSON.stringify({ model: 'x-ai/grok-4-07-09', messages:[ { role:'user', content: 'Hello' } ], }), }); const data = await response.json(); console.log(JSON.stringify(data, null, 2)); } main();

For example, if you’re currently using the OpenAI Python SDK, you can start using Grok by simply changing the base_url to https://api.x.ai/v1 and using your xAI API key that you created on console.x.ai.

September 10, 2025 - curl https://api.x.ai/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY_HERE" \ -H "Content-Type: application/json" \ -d '{ "model": "grok-1", "messages": [ { "role": "user", "content": "What is happening on X today?" } ], "stream": false, "temperature": 0.7 }'

November 16, 2025 - After downloading, run the installer and follow the prompts to set it up on your system. Once installed, launch Apidog and create a new project dedicated to your Grok-3 API work. This project serves as your workspace for all API-related tasks. ... Next, you need an API key to authenticate your requests. Head to the xAI console at .

To use the Grok-2 API, your account must have funds. Access the Cloud Console: After logging in, you’ll be directed to the x.ai Cloud Console.

import OpenAI from "openai"; const ... "openai/gpt-oss-20b", input: "Explain the importance of fast language models", }); console.log(response.output_text);...

import os from xai_sdk import Client from xai_sdk.chat import user, system client = Client( api_key=os.getenv("XAI_API_KEY"), management_api_key=os.getenv("XAI_MANAGEMENT_API_KEY"), timeout=3600, ) chat = client.chat.create(model="grok-4", store_messages=False) chat.append(system("You are Grok, a chatbot inspired by the Hitchhiker's Guide to the Galaxy.")) chat.append(user("What is the meaning of life, the universe, and everything?")) response = chat.sample() print(response)

It defaults to the XAI_API_KEY environment variable. ... Custom headers to include in the requests. fetch (input: RequestInfo, init?: RequestInit) => Promise<Response> Custom fetch implementation. Defaults to the global fetch function. You can use it as a middleware to intercept requests, or to provide a custom fetch implementation for e.g. testing. You can create xAI models using a provider instance. The first argument is the model id, e.g. grok-3.

import Groq from "groq-sdk"; const groq = new Groq({ apiKey: process.env.GROQ_API_KEY }); async function main() { const model = await groq.models.retrieve("llama-3.3-70b-versatile"); console.log(model); } main();

Inspired by the Hitchhiker's Guide to the Galaxy, Grok is a maximally truth-seeking AI that provides insightful, unfiltered truths about the universe. xAI offers an API for developers to programmatically interact with our Grok models.