Models›Video

MiniMax H3 minimax-h3

Text, frames or reference media to video with a generated soundtrack, 4-15 seconds at 768p.

From the live catalog

View .md

Video

$0.06 / second

Video, 2K

$0.24 / second

Image

$0.02 / megapixel

region ATL

Inputs

Input	Accepts
`text`
`image`
`video`
`audio`

Video

Does not stream.

Parameter	Type	Values	Default
`duration`	integer	4–15
`resolution`	string	768p, 2K
`aspect_ratio`	string	16:9, 9:16, 4:3, 3:4, 1:1, 21:9
`size`	string	1344x768, 2688x1536, 768x1344, 1536x2688, 1024x768, 2048x1536, 768x1024, 1536x2048, 768x768, 1536x1536, 1536x672, 3072x1344
`generate_audio`	boolean		`true`
`seed`	integer

Images

Streams with stream: true.

Parameter	Type	Values	Default
`size`	any
`aspect_ratio`	string	1:1, 4:3, 3:4, 7:4, 4:7, 16:7	`1:1`
`resolution`	string	768, 2K, 4K
`n`	integer	1–4	`1`
`response_format`	string	url, b64_json	`url`
`seed`	integer
`steps`	integer	4, 10–50	`4`
`output_format`	string	png, jpeg, webp	`png`
`output_compression`	integer	0–100
`background`	string	auto, opaque	`auto`

Endpoints

POST/v1/videos Create Video POST/v1/images/generations Create Image POST/v1/images Generate Image (OpenRouter) POST/v1/images/edits Edit Image

A request

curl https://api.vultrinference.com/v1/videos \
  -H "Authorization: Bearer $VULTR_INFERENCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax-h3",
    "prompt": "A red fox trots through fresh snow at dawn, breath steaming.",
    "duration": 6,
    "aspect_ratio": "16:9",
    "callback_url": "https://example.com/hooks/video"
  }'

import os
import requests

response = requests.post(
    "https://api.vultrinference.com/v1/videos",
    headers={"Authorization": f"Bearer {os.environ['VULTR_INFERENCE_API_KEY']}"},
    json={
        "model": "minimax-h3",
        "prompt": "A red fox trots through fresh snow at dawn, breath steaming.",
        "duration": 6,
        "aspect_ratio": "16:9",
        "callback_url": "https://example.com/hooks/video",
    },
)
print(response.json())

const response = await fetch("https://api.vultrinference.com/v1/videos", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.VULTR_INFERENCE_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "minimax-h3",
    "prompt": "A red fox trots through fresh snow at dawn, breath steaming.",
    "duration": 6,
    "aspect_ratio": "16:9",
    "callback_url": "https://example.com/hooks/video"
  }),
});
console.log(await response.json());