MiniMax H3 Max

Video Generation

hailuo-3-max

Minimax|Created Oct 31, 2026

Video Generation

MiniMax H3 Max is a video-generation model from MiniMax. Derived through additional training from MiniMax H3, it is designed for faster text-to-video and image-to-video generation with controlled first-frame or last-frame keyframes.

Overview Specifications Activity Performance Uptime Examples API Reference

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Pricing-50%

Pay-as-you-go rates for this model. More details in the billing guide.

Per second (480p)

$0.025

Per second (768p)

$0.04

Capabilities

Input Modalities

TextImage

Output Modalities

Video

Usage Analytics

Token usage of this model on our platform

Not enough activity data to display a chart

Throughput

Not enough throughput data

Time-To-First-Token (TTFT)

Not enough TTFT data

Code Example

Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.

Basic request example. Ensure API key permissions. For more details, see our documentation.

import time

import requests

BASE = "https://api.naga.ac/v1"
HEADERS = {"Authorization": "Bearer YOUR_API_KEY"}

# A job: 202 at once, then poll until it is done. Duration, resolution and
# aspect ratio default to the model's own; GET /v1/videos/models lists them.
job = requests.post(
    f"{BASE}/videos",
    headers=HEADERS,
    json={
        "model": "hailuo-3-max",
        "prompt": "A red paper boat drifting on a calm lake at dawn",
    },
).json()

while job["status"] in ("pending", "in_progress"):
    time.sleep(10)
    job = requests.get(job["polling_url"], headers=HEADERS).json()

if job["status"] == "completed":
    video = requests.get(f"{BASE}/videos/{job['id']}/content", headers=HEADERS)
    with open("video.mp4", "wb") as file:
        file.write(video.content)
else:
    print(job["error"])