Name: Kandinsky5 Text to Video API
Brand: Sber AI

Overview

What is Kandinsky5 Text to Video API?

Kandinsky5 text-to-video model generates high-quality videos from text prompts. $0.10 for 5s, $0.20 for 10s.

Technical Specifications
- Supported inputs: Text
- Output: Video

Performance Benchmarks
[embed]

Kandinsky5 Text to Video API Pricing
- Pricing on request

Where to Use Kandinsky5 Text to Video

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

Prototype narrative ads at agency scale, using the model to combine fidelity and speed for iteration before client review.

Launch a multilingual product sizzle, using localization-ready prompts and fast previews to quickly produce promotional video concepts.

Create concept exploration and rapid iteration videos, since the model is documented as suitable for text-to-video generation for those workflows.

How to use Kandinsky5 Text to Video API

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