Vision · backend

Use Llama 3.2 90B Vision with FastAPI

Updated 2026-05-21 · By XALEN

How to use Llama 3.2 90B Vision (Vision, 90B) with FastAPI. Install, authenticate, and make your first API call in minutes. Working code example included.

Model

Llama 3.2 90B Vision

90B · 128K context · $0.06 input

Framework

FastAPI

backend · pip install xalen fastapi uvicorn

1. Install

pip install xalen fastapi uvicorn

2. Code

from fastapi import FastAPI
from pydantic import BaseModel
from xalen import XALEN

app = FastAPI()
client = XALEN(api_key="xln_test_YOUR_KEY")

class ChatRequest(BaseModel):
    messages: list

@app.post("/chat")
async def chat(req: ChatRequest):
    response = client.chat.completions.create(
        model="llama-3-2-90b-vision",
        messages=[m.dict() for m in req.messages]
    )
    return {"reply": response.choices[0].message.content}

Llama 3.2 90B Vision with Other Frameworks

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

Other Models with FastAPI

Vedika Standard Vedika Fast Vedika Pro Ultra Vedika Vision Vedika Code Vedika Pandit Voice

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

Get API Key

Last updated: 2026-05-21