Grok 4.6 is SpaceXAI's frontier model built for coding, agentic tasks, and knowledge work.

Using the API

If you already have an API key, set the model name to grok-4.6:

import os
from xai_sdk import Client
from xai_sdk.chat import user

client = Client(api_key=os.getenv("XAI_API_KEY"))

chat = client.chat.create(model="grok-4.6")
chat.append(user("Find and fix the bug, then explain it: function median(a){a.sort();return a[a.length/2]}"))

response = chat.sample()
print(response.content)

import { xai } from '@ai-sdk/xai';
import { generateText } from 'ai';

const { text } = await generateText({
  model: xai.responses('grok-4.6'),
  prompt:
    'Find and fix the bug, then explain it: function median(a){a.sort();return a[a.length/2]}',
});

console.log(text);

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env.XAI_API_KEY,
  baseURL: 'https://api.x.ai/v1',
});

const response = await client.responses.create({
  model: 'grok-4.6',
  input: [
    {
      role: 'user',
      content:
        'Find and fix the bug, then explain it: function median(a){a.sort();return a[a.length/2]}',
    },
  ],
});

console.log(response.output_text);

curl https://api.x.ai/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $XAI_API_KEY" \
  -d '{
    "model": "grok-4.6",
    "input": "Find and fix the bug, then explain it: function median(a){a.sort();return a[a.length/2]}"
  }'

New to the xAI API? Follow the Quickstart to create an account and make your first request.

At a glance

Property	Value
Model name	`grok-4.6`
Context window	500,000 tokens
Knowledge cutoff	February 1, 2026
Modalities	Text and image input; text output
Output limit	No text output limit
Input price	$2.00 / 1M tokens
Output price	$6.00 / 1M tokens
Reasoning	Low, medium, high (default), or xhigh
APIs	Responses API, Chat Completions
Tools	Function calling, web search, X search, code execution

Rate limits and live pricing for your team are on the model detail page and Pricing.

For benchmark results and demos, see the announcement.

Important details

We highly recommend setting a prompt_cache_key (Responses API; x-grok-conv-id header on Chat Completions). It routes a conversation's requests to the same server, making cache hits reliable; without it you often pay full input price on a cache-cold server. See What Breaks Caching for common mistakes.
Long agent loops additionally benefit from context compaction; for tool-heavy workloads see function calling.

Where it runs

xAI API: get a key from the console
Grok Build: the default model of the coding agent, on the API and CLI
Cursor: available on all plans
Model gateways: OpenRouter, Vercel, and Cloudflare

Learn more

Reasoning - controlling reasoning_effort, including "xhigh"
Announcement - launch post with demos and full benchmark figures
Models - compare available models and their capabilities
Pricing - token pricing for all models

Last updated:September 21, 2026