Name: MiniMax H3 Lite API
Brand: MiniMax

Overview

What Is MiniMax H3 Lite API?

MiniMax H3 Lite is a specialized video generation model developed by Minimax AI. It is designed to transform various inputs into short, synchronized video content.

The model offers flexibility by allowing users to provide text, images, or reference media to guide the generation process. It focuses on delivering efficient video output with audio integration.

What MiniMax H3 Lite Brings to the Table

Versatile Input

Generate video content using text prompts, images, or specific reference media.

Synchronized Audio

The model creates videos that include synchronized audio tracks.

Frame Control

Utilize first or last frame references to guide the visual output of the video.

Resolution Options

Choose between different resolution settings for your generated video content.

Use cases

Create short video clips from descriptive text prompts.

Generate video sequences based on provided image references.

Use first and last frame references to define video boundaries.

Produce videos with synchronized audio from reference media.

How to use MiniMax H3 Lite API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to minimax/h3-lite.

import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v2/video/generations",
    headers=headers,
    json={
      "model": "minimax/h3-lite",
      "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": "minimax/h3-lite",
    "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) === false);
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":"minimax/h3-lite","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.