MiniMax H3 Highspeed Text-to-Video API

minimax/h3-highspeed/text-to-video

MiniMax H3 Highspeed Text-to-Video generates fast 768P videos from text prompts with flexible 4-15 second duration, making it suitable for creative videos, social content, ads, marketing, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Text to Video
Input

Idle

$0.06per run·~16 / $1

Next:

ExamplesView all

A confident young female knight stands before a dramatic castle gate and reaches for her sword as something approaches off-screen. She pulls firmly, but the sword refuses to leave the scabbard. She tries once more, then looks down in frustration as the sword hilt subtly turns away from her hand. The camera holds a clean medium-full composition and gently pushes closer. Western fantasy comedy, detailed armor, restrained magical humor.

Photoreal macro wildlife film: an emerald hummingbird with iridescent turquoise wings hovers beside vivid magenta heliconia flowers in a lush tropical garden after rain. Tiny droplets sparkle in warm sunrise light, soft colorful bokeh. One continuous slow lateral camera move, natural wing movement. Sound of wings, tropical birds and gentle rain drips.

Delightful handcrafted clay stop-motion animation: a tiny cheerful orange submarine with round glowing portholes travels through a turquoise underwater coral garden. Purple sea fans, yellow fish, pink anemones and rising bubbles. The submarine glides upward as a small blue octopus waves. Rich tactile clay textures, playful composition, continuous shot. Bubbly underwater sounds and a light marimba melody.

Cinematic anime night scene in a futuristic East Asian city after rain. A small delivery robot rolls past a steaming noodle stall under cyan, violet and hot-pink neon lights. Reflections ripple in puddles, steam drifts and a red tram moves in the distant background. Slow low-angle tracking camera, beautifully detailed hand-painted animation, no readable signs. Gentle rain, tram bell and mellow electronic ambience.

A tiny ceramic fox on a wooden desk beside a sunlit window. One continuous slow camera push-in as dust drifts through warm light. Gentle piano notes and quiet room ambience.

Related Models

README

MiniMax H3 Highspeed Text-to-Video

MiniMax H3 Highspeed Text-to-Video generates videos directly from text prompts. Describe the scene, action, camera movement, and visual style, then choose a duration from 4 to 15 seconds and a supported aspect ratio.

Why Choose This?

  • Text-to-video generation — Create videos directly from natural-language prompts.
  • Flexible duration — Generate clips from 4 to 15 seconds.
  • 768p output — Generate videos at 768p.
  • Multiple aspect ratios — Choose landscape, portrait, square, or ultrawide framing.
  • Prompt-driven control — Describe subjects, actions, environments, camera movement, and visual style.

Parameters

ParameterRequiredDescription
promptYesDescribe the scene, action, camera movement, and visual style. Supports 1–7000 characters.
aspect_ratioNoOutput aspect ratio: 21:9, 16:9, 4:3, 1:1, 3:4, or 9:16. Default: 16:9.
resolutionNoOutput resolution: 768p. Default: 768p.
durationNoVideo duration in whole seconds from 4 to 15. Default: 5.

How to Use

  1. Write a prompt — Describe the subject, setting, action, camera movement, and visual style.
  2. Choose duration — Select a video length from 4 to 15 seconds.
  3. Choose framing — Select the aspect ratio that fits your target format.
  4. Submit — Generate and retrieve the completed video.

Pricing

$0.06 per second of requested video duration.

DurationPrice
4s$0.24
5s$0.30
10s$0.60
15s$0.90

Best Use Cases

  • Cinematic concepts — Turn scene descriptions into short video clips.
  • Social media content — Generate landscape, portrait, or square videos.
  • Advertising concepts — Create promotional and campaign video ideas.
  • Creative storytelling — Generate short narrative scenes from text.
  • Visual prototyping — Explore camera movement, environments, and motion concepts.

Pro Tips

  • Keep the main subject and action clear.
  • Describe camera movement explicitly when it matters.
  • Include lighting, environment, and visual style for stronger direction.
  • Keep the requested action suitable for the selected duration.
  • Use a clear composition with one main visual focus for more predictable results.

Notes

  • prompt is required.
  • duration supports whole-second values from 4 to 15.
  • duration defaults to 5.
  • Output resolution is 768p.
  • Supported aspect ratios are 21:9, 16:9, 4:3, 1:1, 3:4, and 9:16. Default: 16:9.

Related Models

Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

H3 Highspeed Text To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/minimax/h3-highspeed/text-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for H3 Highspeed Text To Video below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "aspect_ratio": "16:9",
    "resolution": "768p",
    "duration": 5
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/minimax/h3-highspeed/text-to-video" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/minimax/h3-highspeed/text-to-video";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "aspect_ratio": "16:9",
        "resolution": "768p",
        "duration": 5
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "aspect_ratio": "16:9",
    "resolution": "768p",
    "duration": 5
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/minimax/h3-highspeed/text-to-video", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

H3 Highspeed Text To Video API — Frequently asked questions

What is the H3 Highspeed Text To Video API?

H3 Highspeed Text To Video is a MiniMax model for video generation, exposed as a REST API on WaveSpeedAI. MiniMax H3 Highspeed Text-to-Video generates fast 768P videos from text prompts with flexible 4-15 second duration, making it suitable for creative videos, social content, ads, marketing, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the H3 Highspeed Text To Video API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/minimax/minimax-h3-highspeed-text-to-video.

How much does H3 Highspeed Text To Video cost per run or per second?

H3 Highspeed Text To Video starts at $0.06 per run or per second. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does H3 Highspeed Text To Video accept?

Key inputs: `prompt`, `aspect_ratio`, `resolution`, `duration`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/minimax/minimax-h3-highspeed-text-to-video.

How do I get started with the H3 Highspeed Text To Video API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use H3 Highspeed Text To Video outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (MiniMax). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.

llms.txt — minimax/h3-highspeed/text-to-video for AI agents and LLMs