Vision · language

Use Llama 3.2 11B Vision with Python

Updated 2026-05-21 · By XALEN

How to use Llama 3.2 11B Vision (Vision, 11B) with Python. Install, authenticate, and make your first API call in minutes. Working code example included.

Model

Llama 3.2 11B Vision

11B · 128K context · $0.02 input

Framework

Python

language · pip install xalen

1. Install

pip install xalen

2. Code

from xalen import XALEN

client = XALEN(api_key="xln_test_YOUR_KEY")

response = client.chat.completions.create(
    model="llama-3-2-11b-vision",
    messages=[{"role": "user", "content": "Hello from Python!"}]
)
print(response.choices[0].message.content)

Llama 3.2 11B Vision with Other Frameworks

JavaScript React Next.js Flask FastAPI Django Express.js Flutter

Other Models with Python

Vedika Standard Vedika Fast Vedika Pro Ultra Vedika Vision Vedika Code Vedika Translate

200+ models. One API. Works with any framework.

Get API Key

Last updated: 2026-05-21