Name: MiniMax H3 Highspeed API
Brand: MiniMax

Overview

What Is MiniMax H3 Highspeed API?

MiniMax H3 Highspeed is a video generation model by Minimax AI. It supports multiple input types to create video content.

The model allows for the use of text, images, and reference media to guide generation. It also includes synchronized audio in the output.

What MiniMax H3 Highspeed Brings to the Table

Versatile Input Support

Generate video content using text, images, or video and audio references.

Synchronized Audio

The model produces video output with integrated and synchronized audio.

Frame Control

Create videos using first and last frame constraints for precise control.

Video Generation

The model creates video content based on your provided inputs.

Use cases

Transform text prompts into dynamic video sequences.

Convert static images into animated video content.

Use video and audio references to guide the style and structure of new videos.

Incorporate first and last frames to define specific video transitions.

How to use MiniMax H3 Highspeed API

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

import requests, time

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