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MiniMax H3 - Unified video generation for motion design and branding

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MiniMax H3 is an open multimodal model that generates 2K video with native stereo sound. It unifies text, image, and audio inputs, excelling at accurate text rendering, visual packaging, and complex instruction following for commercial content creation.

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Hunter
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Hi everyone!

H3 is especially good at turning a mixed set of references into finished-looking motion work.

You can mix text, images, video, and audio in one request, then simply tell H3 what you want to borrow from each reference. It can follow the same character, camera movement, voice, or overall visual style and turn everything into a 2K video with native stereo sound.

This makes H3 especially useful for commercial creative work. The output can feel much closer to a finished piece, with the typography, motion, pacing, and sound working together across product videos, motion posters, music visuals, and ecommerce campaigns.

The is live now, and the weights are coming!

Text rendering is the claim I'd want tested hardest here, because a motion poster lives or dies on one word being right and video models have historically turned typography into soup. The useful test isn't whether it renders clean once, it's whether you can swap that word for a longer one and get the same layout back. Everything in a branding workflow is a re-render, so consistency across takes matters more than any single take. Native stereo in the same pass is the part that actually removes a handoff.

Congrats on the launch! I lead marketing and we’re deep in launch-asset production right now, so my question is about brand fidelity rather than single-shot quality. Our brand lives on exact hex colors and one specific typeface. When I generate a campaign’s worth of assets, product video, motion poster, teaser, can H3 hold those exact brand values across every render, or does each generation drift a little? Reference images help with style, but “close to our green” isn’t our green. If there’s a way to lock a brand kit across outputs, that’s the feature that moves this from cool to production.

The unified text/image/audio input approach is interesting , most "all-in-one" generation tools end up mediocre at everything. How's the output quality holding up for commercial/branding use cases specifically, vs. more experimental content?

is it better than flux and seedream?

The multimodal breadth here is impressive: text, audio, image, video, and music under one roof is a lot to pull off well, and the ultra-long context plus strong code/agent capabilities is exactly the combination that makes these models actually useful for real workflows rather than demos. "Co-create intelligence with everyone" is a nice framing for the mission too. Curious which modality you've found resonates most with builders so far. Congrats on the launch! 🚀

ongrats on the launch, this is a strong day one showing. Mixing text, image and audio inputs in one model would make quick brand teasers way less painful, right now that is three tools and a lot of glue between them. Can I feed it a product shot plus a rough voiceover clip and have it build the motion design around both?

thanks for eating my job. lol

🚀 Congrats on the launch! What stood out to me wasn't just the multimodal generation, but the potential to reduce the number of tools in a production workflow.

One question I had is about iterative editing. In a real marketing campaign, we rarely regenerate everything from scratch. We might only need to update a product image, change a headline, or swap a voiceover while keeping the same camera movement, pacing, and overall style.

Can H3 preserve those elements and edit only what's changed, or does each revision require generating a new video?

I think that workflow would make a huge difference for teams creating commercial content at scale.

Congratulations

How can i reach out to your team?

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