Vision

Multimodal vision capabilities with AJ STUDIOZ Cloud Infra

Overview

Several models on AJ STUDIOZ Cloud Infra support vision — the ability to understand images alongside text.

Vision-Capable Models

Model	Notes
qwen3-vl:235b	State-of-the-art vision + language
qwen3-vl:235b-instruct	Instruction-tuned vision model
minimax-m2.5	Multimodal understanding
minimax-m2.1	Multimodal, general purpose
gemini-3-flash-preview	Fast vision model

---

Image Input Format

Images are passed as base64 encoded strings or public URLs in the message content:

Using a URL

from openai import OpenAI

client = OpenAI(
    base_url="https://api.ajstudioz.co.in/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="qwen3-vl:235b-instruct",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/4/47/PNG_transparency_demonstration_1.png/280px-PNG_transparency_demonstration_1.png"
                    }
                },
                {
                    "type": "text",
                    "text": "What is in this image?"
                }
            ]
        }
    ]
)
print(response.choices[0].message.content)

Using Base64

import base64
from openai import OpenAI

client = OpenAI(
    base_url="https://api.ajstudioz.co.in/v1",
    api_key="YOUR_API_KEY"
)

# Read and encode the image
with open("image.jpg", "rb") as f:
    image_data = base64.b64encode(f.read()).decode("utf-8")

response = client.chat.completions.create(
    model="qwen3-vl:235b-instruct",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        "url": f"data:image/jpeg;base64,{image_data}"
                    }
                },
                {
                    "type": "text",
                    "text": "Describe this image in detail."
                }
            ]
        }
    ]
)
print(response.choices[0].message.content)

---

Multiple Images

response = client.chat.completions.create(
    model="qwen3-vl:235b",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "image_url", "image_url": {"url": "https://example.com/image1.jpg"}},
                {"type": "image_url", "image_url": {"url": "https://example.com/image2.jpg"}},
                {"type": "text", "text": "Compare these two images."}
            ]
        }
    ]
)

---

Supported Image Formats

Format	Support
JPEG	✅
PNG	✅
WebP	✅
GIF (static)	✅
GIF (animated)	❌
PDF	❌

Maximum image size is 20MB. For best performance, use images under 2MB.