
I built an AI video generator in 10 lines of Python — here's how (Veo 3.1 Tutorial)
I've been experimenting with AI video generation for the past few months, and I finally found a setup that's fast, affordable, and actually works in production. Let me show you. The Problem with the "Official" Way When I first tried to use Google's Veo 3.1 model, I went the official route: Google Cloud Platform, Vertex AI, service accounts, IAM roles... two hours later I had a 403 Permission Denied error and a mild headache. The official Gemini API is powerful, but it's designed for enterprise teams with dedicated DevOps. For indie devs and small teams, the setup friction is brutal. And at ~$0.40/request, the costs add up fast. Then I found NexaAPI . What is NexaAPI? NexaAPI is a unified AI API that wraps multiple video generation models — including Veo 3 (with 3.1 capabilities) — behind a clean, simple REST API. No GCP. No service accounts. Just an API key. The numbers: Veo 3 via NexaAPI: $0.15/request Veo 3.1 via official Gemini API: ~$0.40/request That's 2.7x cheaper They also offer
Continue reading on Dev.to Python
Opens in a new tab

![[MM’s] Boot Notes — The Day Zero Blueprint — Test Smarter on Day One](/_next/image?url=https%3A%2F%2Fcdn-images-1.medium.com%2Fmax%2F1368%2F1*AvVpFzkFJBm-xns4niPLAA.png&w=1200&q=75)

