MiniMax H3

This documentation is valid for the following list of our models:

• minimax/h3

Try in Playground

Model Overview

MiniMax H3 is a multimodal video model generating native 2K clips of 4-15 seconds with synchronized audio, driven by text together with reference images, video and audio for consistent characters and voice.

Setup your API Key

If you don't have an API key yet, use our Quickstart guide.

How to Make a Call

Step-by-Step Instructions

Generating a video involves sequentially calling two endpoints:

• Create and submit a video generation task. The response contains a generation ID.

• Poll the retrieval endpoint with that generation ID until the status is completed.

API Schemas

Create a video generation task and send it to the server

post

Body

modelstring · enumRequiredPossible values:

promptstring · max: 7000Required

The text description of the scene, subject, or action to generate in the video.

image_urlstring · uriOptional

A direct link to an online image or a Base64-encoded local image that will serve as the first frame for the video. Image specifications:

• format must be JPG, JPEG, or PNG;
• aspect ratio should be greater than 2:5 and less than 5:2;
• the shorter side must exceed 300 pixels;
• file size must not exceed 20MB.

last_image_urlstring · uriOptional

A direct link to an online image or a Base64-encoded local image to be used as the last frame of the video.

reference_image_urlsstring · uri[] · max: 9Optional

Passing an image reference allows the model to emulate the style or content of the reference in the output.

video_urlsstring · uri[] · max: 3Optional

Passing a video reference allows the model to emulate the style or content of the reference in the output.

audio_urlsstring · uri[] · max: 3Optional

Reference audio clips whose voice timbre the generated speech follows. Cannot be the only reference — pass at least one reference image or video alongside.

durationinteger · min: 4 · max: 15Optional

The length of the output video in seconds.

Default: 6

resolutionstring · enumOptional

The resolution of the output video, where the number refers to the short side in pixels.

Default: 2KPossible values:

ratiostring · enumOptional

The aspect ratio of the generated video. Defaults to adaptive, which follows the first/last frame or reference input; text-only generation cannot be adaptive and defaults to 16:9 instead.

Default: adaptivePossible values:

Responses

200

Successful response.

application/json

idstringRequired

The ID of the generated video.

Example: 60ac7c34-3224-4b14-8e7d-0aa0db708325

statusstring · enumRequired

The current status of the generation task.

Example: completedPossible values:

post/v2/video/generations

curl --request POST \
  --url 'https://api.aimlapi.com/v2/video/generations' \
  --header 'Authorization: Bearer <YOUR_AIMLAPI_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{"model": "minimax/h3", "prompt": "Describe what you want the model to generate.", "image_url": "https://example.com/input.jpg", "duration": 6}'

200

Successful response.

{
  "id": "60ac7c34-3224-4b14-8e7d-0aa0db708325",
  "status": "completed",
  "video": {
    "url": "https://cdn.aimlapi.com/generations/hedgehog/1759866285599-0cdfb138-c03a-49d4-a601-4f6413e27b15.mp4"
  },
  "error": {
    "name": "text",
    "message": "text"
  },
  "meta": {
    "usage": {
      "credits_used": 120000,
      "usd_spent": 0.06
    }
  }
}

Retrieve the generated video from the server

Poll this endpoint with the generation_id returned by the submit request. When the status is completed, the response includes the generated video URL.

get

Authorizations

AuthorizationstringRequired

Bearer key

Query parameters

generation_idstringRequiredExample: <REPLACE_WITH_YOUR_GENERATION_ID>

Responses

200Success

application/json

idstringRequired

The ID of the generated video.

Example: 60ac7c34-3224-4b14-8e7d-0aa0db708325

statusstring · enumRequired

The current status of the generation task.

Example: completedPossible values:

get/v2/video/generations

curl -L \
  --request GET \
  --url 'https://api.aimlapi.com/v2/video/generations?generation_id=<REPLACE_WITH_YOUR_GENERATION_ID>' \
  --header 'Authorization: Bearer <YOUR_AIMLAPI_KEY>'

200Success

{
  "id": "60ac7c34-3224-4b14-8e7d-0aa0db708325",
  "status": "completed",
  "video": {
    "url": "https://cdn.aimlapi.com/generations/hedgehog/1759866285599-0cdfb138-c03a-49d4-a601-4f6413e27b15.mp4"
  },
  "error": {
    "name": "text",
    "message": "text"
  },
  "meta": {
    "usage": {
      "credits_used": 120000
    }
  }
}

Code Example

The examples submit a generation task and poll every 15 seconds until the final result is available.

Python

import requests
import time

api_key = "<YOUR_AIMLAPI_KEY>"
url = "https://api.aimlapi.com/v2/video/generations"
headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json",
}

generation = requests.post(url, headers=headers, json={'model': 'minimax/h3', 'prompt': 'Describe what you want the model to generate.', 'image_url': 'https://example.com/input.jpg', 'duration': 6})
generation.raise_for_status()
generation_id = generation.json()["id"]

while True:
    result = requests.get(
        url,
        headers=headers,
        params={"generation_id": generation_id},
    )
    result.raise_for_status()
    data = result.json()
    if data.get("status") not in ("queued", "generating"):
        print(data)
        break
    time.sleep(15)

JavaScript

const apiKey = "<YOUR_AIMLAPI_KEY>";
const url = "https://api.aimlapi.com/v2/video/generations";
const headers = {
  "Authorization": `Bearer ${apiKey}`,
  "Content-Type": "application/json",
};

const generation = await fetch(url, {
  method: "POST",
  headers,
  body: JSON.stringify({
  "model": "minimax/h3",
  "prompt": "Describe what you want the model to generate.",
  "image_url": "https://example.com/input.jpg",
  "duration": 6
}),
});
const { id: generationId } = await generation.json();

while (true) {
  const response = await fetch(
    `${url}?generation_id=${encodeURIComponent(generationId)}`,
    { headers },
  );
  const data = await response.json();
  if (!["queued", "generating"].includes(data.status)) {
    console.log(data);
    break;
  }
  await new Promise((resolve) => setTimeout(resolve, 15000));
}

Response

{
  "id": "60ac7c34-3224-4b14-8e7d-0aa0db708325",
  "status": "completed",
  "video": {
    "url": "https://cdn.aimlapi.com/generations/hedgehog/1759866285599-0cdfb138-c03a-49d4-a601-4f6413e27b15.mp4"
  },
  "error": {
    "name": "<name>",
    "message": "<message>"
  },
  "meta": {
    "usage": {
      "credits_used": 120000,
      "usd_spent": 0.06
    }
  },
  "model": "minimax/h3"
}