When sending images, it is advised to not store request/response history on the server. Otherwise the request may fail. See Disable storing previous request/response on server.

Some models allow images in the input. The model will consider the image context when generating the response.

Constructing the message body - difference from text-only prompt

The request message to image understanding is similar to a text-only prompt. The main difference is that instead of text input:

JSON

[
  {
    "role": "user",
    "content": "What is in this image?"
  }
]

We send in content as a list of objects:

JSON

[
  {
    "role": "user",
    "content": [
      {
        "type": "input_image",
        "image_url": "data:image/jpeg;base64,<base64_image_string>"
      },
      {
        "type": "input_text",
        "text": "What is in this image?"
      }
    ]
  }
]

The image_url value can also be a public URL on the Internet instead of a base64 data URL.

Image understanding example

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

const { text, response } = await generateText({
    model: xai.responses('grok-4.7'),
    messages: [
        {
            role: 'user',
            content: [
                {
                    type: 'image',
                    image: new URL('https://science.nasa.gov/wp-content/uploads/2023/09/web-first-images-release.png'),
                },
                {
                    type: 'text',
                    text: "What's in this image?",
                },
            ],
        },
    ]
});

console.log(text);

// The response ID can be used to continue the conversation
console.log(response.id);

import os
import httpx
from openai import OpenAI

client = OpenAI(
    api_key="<YOUR_XAI_API_KEY_HERE>",
    base_url="https://api.x.ai/v1",
    timeout=httpx.Timeout(3600.0), # Override default timeout with longer timeout for reasoning models
)
image_url = (
    "https://science.nasa.gov/wp-content/uploads/2023/09/web-first-images-release.png"
)

response = client.responses.create(
    model="grok-4.7",
    input=[
        {
            "role": "user",
            "content": [
                {
                    "type": "input_image",
                    "image_url": image_url,
                    "detail": "high",
                },
                {
                    "type": "input_text",
                    "text": "What's in this image?",
                },
            ],
        },
    ],
)

print(response)

# The response ID that can be used to continue the conversation later

print(response.id)

import OpenAI from "openai";

const client = new OpenAI({
    apiKey: "<api key>",
    baseURL: "https://api.x.ai/v1",
    timeout: 360000, // Override default timeout with longer timeout for reasoning models
});

const image_url =
    "https://science.nasa.gov/wp-content/uploads/2023/09/web-first-images-release.png";

const response = await client.responses.create({
    model: "grok-4.7",
    input: [
        {
            role: "user",
            content: [
                {
                    type: "input_image",
                    image_url: image_url,
                    detail: "high",
                },
                {
                    type: "input_text",
                    text: "What's in this image?",
                },
            ],
        },
    ],
});

console.log(response);

// The response ID that can be used to recall the conversation later
console.log(response.id);

curl https://api.x.ai/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $XAI_API_KEY" \
  -m 3600 \
  -d '{
    "model": "grok-4.7",
    "input": [
      {
        "role": "user",
        "content": [
          {
            "type": "input_image",
            "image_url": "https://science.nasa.gov/wp-content/uploads/2023/09/web-first-images-release.png",
            "detail": "high"
          },
          {
            "type": "input_text",
            "text": "What'\''s in this image?"
          }
        ]
      }
    ]
  }'

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

client = Client(
    api_key=os.getenv("XAI_API_KEY"),
    management_api_key=os.getenv("XAI_MANAGEMENT_API_KEY"),
    timeout=3600,
)

image_url = "https://science.nasa.gov/wp-content/uploads/2023/09/web-first-images-release.png"
chat = client.chat.create(model="grok-4.7")
chat.append(
    user(
        "What's in this image?",
        image(image_url=image_url, detail="high"),
    )
)

response = chat.sample()
print(response)

# The response ID that can be used to continue the conversation later

print(response.id)

Image input general limits

Maximum image size: 20MiB
Maximum number of images: No limit
Supported image file types: jpg/jpeg or png.
Any image/text input order is accepted (e.g. text prompt can precede image prompt)

Last updated: May 30, 2026

Model Capabilities

Image Understanding

Constructing the message body - difference from text-only prompt

Image understanding example

Image input general limits