Introducing MiniMax H3 API on Pixazo API: Native 2K AI Video with Sound

Deepak Joshi
Written byDeepak Joshi
Abhinav Girdhar
Reviewed byAbhinav Girdhar
Read time7 min read
Last updated onAugust 10, 2026
Introducing MiniMax H3 API on Pixazo API: Native 2K AI Video with Sound

MiniMax has launched its newest multimodal video model, and the MiniMax H3 API is available right now through the Pixazo API. MiniMax H3, the Hailuo H3 video model, turns a written description into a finished, sharp video with sound, in a single request. It renders natively at 2K resolution (2560 by 1440) at 24 frames per second, so the output looks clean on a large screen without any upscaling step. Because it is served on the Pixazo API, you can call it with one HTTP request and get back a downloadable MP4.

What sets this release apart is the combination of resolution, native audio, and range. One model covers five ways to generate a clip, from a pure text prompt to a fully reference-driven shot, and it composes ambient sound to match the scene rather than handing back a silent file. This post shows four clips generated on the MiniMax H3 API on the Pixazo API, walks through the five generation modes, and covers exactly how to call it, what it costs, and how to start.

See it in motion

Every clip below was generated on the MiniMax H3 API on the Pixazo API from a text prompt alone. No footage was filmed, no images were fed in, and the sound you hear was composed by the model. Each is five seconds, native 2K, with an audio track. Turn your volume on.

Text to video, with sound. Prompt: a lone red fox trots across a snow dusted pine forest at golden hour, camera tracking alongside. The model added snow crunch, distant birdsong, and a soft breeze.
Text to video, with sound. Prompt: a neon drenched cyberpunk street market in the rain, slow push in toward a steaming noodle stall. Notice the reflections on wet pavement and the layered ambient audio.
Text to video, with sound. Prompt: an extreme close up of a barista pouring latte art, warm morning light, shallow depth of field. A good test of fine detail, texture, and slow controlled motion.
Text to video, with sound. Prompt: an astronaut drifts weightless inside a space station cupola as Earth turns below. Consistent lighting and a believable sense of scale across the whole clip.

Suggested Read: Best Open Source AI Video Generation Models

What makes MiniMax H3 different

Plenty of models can turn text into a moving picture. Three things make MiniMax H3 worth reaching for.

Native 2K, not upscaled
Frames are rendered at 2560 by 1440 at 24 fps. There is no separate enhancement pass to pay for or wait on, and the detail holds up on a full screen.
Real audio, in the box
The model composes sound to fit the scene, ambient noise, effects, and atmosphere, so a clip arrives as a finished piece rather than a silent plate you have to score later.
Five generation modes
One model handles text to video, image to video, last frame, start and end frame, and reference driven generation, so you can standardize on a single API for very different jobs.

Five ways to generate a clip

MiniMax H3 exposes five endpoints. You pick the one that matches what you are starting from.

  • Text to video. Describe the shot in plain language, including camera moves and an audio cue, and get a 2K clip back. This is what produced the four videos above.
  • Image to video. Hand it a single still as the first frame and it animates forward from there, keeping your composition and style.
  • Last frame to video. Give it the frame you want to end on and it builds the motion that leads into it, useful for seamless loops and hand offs.
  • Start and end frame to video. Provide both the opening and closing frames and the model fills the motion between them, so you control exactly where a shot begins and lands.
  • Reference to video. Steer a generation with up to nine reference images, three video clips, and three audio clips at once, for consistent characters, looks, and sound.

Suggested Read: Best Image to Video APIs

How the API works

The flow is asynchronous because a 2K clip takes a little time to render. It comes down to three steps.

1
Send your request
POST your prompt and options to the endpoint with your API key in the header. You get back a request_id and a status link straight away.
2
Poll for the result
Check the status link every few seconds until it reads COMPLETED. The video renders in the background, which usually takes a few minutes.
3
Download your MP4
When the job completes, the response returns a direct link to the finished MP4. Download it, or skip polling entirely by adding a webhook so Pixazo notifies your server the moment it is ready.

A text to video call is as small as this:

POST https://gateway.pixazo.ai/minimax-hailuo-h3/v2/text-to-video
Ocp-Apim-Subscription-Key: YOUR_API_KEY
Content-Type: application/json

{
“prompt”: “A lighthouse on a cliff at dusk, slow push in. Audio: wind and surf.”,
“duration”: 5,
“ratio”: “16:9”
}

The prompt field accepts up to 7000 characters, so you have room to describe camera moves, lighting, and an audio cue in the same sentence. For production traffic, the webhook option lets you fire a batch of jobs and collect the finished clips as callbacks instead of holding open a poll loop.

Suggested Read: Best Reference to Video APIs

What it costs

$0.13 per second of output
A five second clip costs about $0.65. Duration is the main lever on price, so a ten second clip is roughly double a five second one. You pay for finished output, not for attempts that error.

That pricing makes it practical to generate several takes of a shot and keep the best, or to batch out variations for testing, without a large bill. New API accounts also start with free credit, so you can run the first jobs at no cost.

What you can build

Native 2K plus sound plus a simple API opens up a lot of everyday production work:

  • Social and ad creative at scale, generating dozens of short, sound on variations from a script.
  • Product and lifestyle shots like the barista clip above, where texture and controlled motion matter.
  • Establishing shots and b roll for longer edits, from nature to cityscapes to space, without a shoot.
  • Animated stills, feeding a single image through image to video to bring a static asset to life.
  • Seamless loops using last frame or start and end frame control for backgrounds and banners.

Suggested Read: Best Audio Generation APIs

Start building with MiniMax H3

You can try MiniMax H3 two ways. Open the Pixazo Playground to generate a clip in the browser with no code, or grab an API key and integrate the endpoint directly. The full request parameters, response shape, and webhook details live on the model page.

Read the MiniMax H3 API documentation and get an API key

Suggested Read: Best Lipsync APIs

Frequently asked questions

What is the MiniMax H3 API?

MiniMax H3 is MiniMax’s multimodal video generation model. It creates native 2K video at 24 frames per second from a text prompt or from images, and it composes matching audio. It is available through the Pixazo API.

Does MiniMax H3 generate sound?

Yes. The model composes an audio track to fit the scene, so a finished clip includes ambient sound and effects rather than arriving silent. All four demo clips in this post have model generated audio.

What resolution and length can it produce?

It renders natively at 2K, 2560 by 1440, at 24 fps, with no separate upscaling step. Duration is set per request and is the main factor in cost.

How much does the MiniMax H3 API cost?

It is billed at $0.13 per second of output, so a five second clip is about $0.65. You are charged for completed output only, and new accounts start with free credit.

Do I have to write code to use it?

No. You can generate clips in the Pixazo Playground with no code. When you are ready to automate, the same model is one HTTP request away through the API, with an optional webhook so you do not have to poll.

What can I feed it besides text?

Beyond text to video, MiniMax H3 supports image to video from a first frame, last frame to video, start and end frame to video, and reference driven generation using up to nine images, three video clips, and three audio clips.

Deepak Joshi

Deepak Joshi

Author · Pixazo

Deepak writes about generative AI models, APIs, and the workflows teams use to ship them. Reviewed by Abhinav Girdhar.

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