Name: Veo 3.1 Text to Video Fast API
Brand: Google

Overview

What is Veo 3.1 Text to Video Fast API?

Veo 3.1 Fast is a speed-optimized variant of Veo 3.1 text-to-video for rapid generation at reduced cost.

Technical Specifications
- Supported inputs: Text
- Output: Video

Performance Benchmarks
[embed]

Veo 3.1 Text to Video Fast API Pricing
- Pricing on request

Where to Use Veo 3.1 Text to Video Fast

Short-form video generation
Create clips for social, ads, and product demos from text or image prompts.

Previsualization and storyboards
Rapidly prototype motion concepts before committing to production.

Use cases

social media content and ad creatives on the fly

backend services that programmatically generate ads

tools for rapid A/B testing of creative concepts

apps that need to quickly produce social media content

How to use Veo 3.1 Text to Video Fast API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to veo3.1/fast.

import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v2/video/generations",
    headers=headers,
    json={
      "model": "veo3.1/fast",
      "prompt": "A serene timelapse of clouds over a mountain range"
    },
).json()
gid = job["id"]

while True:
    res = requests.get(f"https://api.aimlapi.com/v2/video/generations?generation_id={gid}", headers=headers).json()
    if res.get("status") in ("completed", "error"):
        break
    time.sleep(5)
print(res["video"]["url"])

const headers = {
  Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
  "Content-Type": "application/json",
};
const job = await (await fetch("https://api.aimlapi.com/v2/video/generations", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "model": "veo3.1/fast",
    "prompt": "A serene timelapse of clouds over a mountain range"
  }),
})).json();

let res;
do {
  await new Promise((r) => setTimeout(r, 5000));
  res = await (await fetch(`https://api.aimlapi.com/v2/video/generations?generation_id=${job.id}`, { headers })).json();
} while (!["completed", "error"].includes(res.status));
console.log(res.video.url);

# submit the generation — the response contains the job "id"
curl -X POST https://api.aimlapi.com/v2/video/generations \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"veo3.1/fast","prompt":"A serene timelapse of clouds over a mountain range"}'

# then poll until status is "completed" — video.url holds the result
curl "https://api.aimlapi.com/v2/video/generations?generation_id={id}" -H "Authorization: Bearer $AIMLAPI_KEY"

OpenAI-compatible — swap the base URL and it works with your existing SDK.