Reasoning · backend

Use DeepSeek R1 Distill 32B with Django

Updated 2026-05-21 · By XALEN

How to use DeepSeek R1 Distill 32B (Reasoning, 32B) with Django. Install, authenticate, and make your first API call in minutes. Working code example included.

Model

DeepSeek R1 Distill 32B

32B · 128K context · $0.03 input

Framework

Django

backend · pip install xalen django

1. Install

pip install xalen django

2. Code

# views.py
from django.http import JsonResponse
from django.views.decorators.csrf import csrf_exempt
import json
from xalen import XALEN

client = XALEN(api_key="xln_test_YOUR_KEY")

@csrf_exempt
def chat(request):
    data = json.loads(request.body)
    response = client.chat.completions.create(
        model="deepseek-r1-distill-32b",
        messages=data["messages"]
    )
    return JsonResponse({"reply": response.choices[0].message.content})

DeepSeek R1 Distill 32B with Other Frameworks

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

Other Models with Django

Vedika Standard Vedika Fast Vedika Pro Ultra Vedika Vision Vedika Code Vedika Astro Agent

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

Get API Key

Last updated: 2026-05-21