Name: Kandinsky5 Text to Video Distill API
Brand: Sber AI

Overview

What is Kandinsky5 Text to Video Distill API?

Kandinsky5 distilled text-to-video model for faster generation. $0.05 for 5s, $0.10 for 10s.

Technical Specifications
- Supported inputs: Text
- Output: Video

Performance Benchmarks
[embed]

Kandinsky5 Text to Video Distill API Pricing
- Pricing on request

Where to Use Kandinsky5 Text to Video Distill

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

Fast text-to-video generation is documented as a use case for this model, and the documentation says it is designed for generating videos from a prompt with no sound.

It is also suited to low-latency generation, because the distilled variant is described as a lightweight model for fast, high-quality text-to-video generation.

Another documented use case is creating short clips, since the model documentation exposes 5-second and 10-second video-length options.

How to use Kandinsky5 Text to Video Distill API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to sber-ai/kandinsky5-distill-t2v.

import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v2/video/generations",
    headers=headers,
    json={
      "model": "sber-ai/kandinsky5-distill-t2v",
      "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": "sber-ai/kandinsky5-distill-t2v",
    "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":"sber-ai/kandinsky5-distill-t2v","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.