MiniMax H3 Open Weights: 768p Only, US/EU Excluded

MiniMax H3 makes video and stereo audio in one model

MiniMax calls H3 an omni-modal system: it reads text, images, video, and audio together as a single multimodal context. What comes out is a clip of 4 to 15 seconds with a stereo soundtrack, and you steer it through one of two released checkpoints. A checkpoint is a saved set of trained weights, and each of these two does one job.

One 33B transformer predicts video and audio together

The generator at the center, H3-Omni-Transformer, is a 33B-parameter dense transformer that predicts the picture and the sound in the same pass. It works on latents, compact numerical stand-ins for frames and audio, and only at the end are those decoded into a video track and a stereo track. The model card describes no later stage where a separate sound model has to be lined up with the footage.

H3-Encoder, which reads the prompt, is Qwen3-VL-32B with its full pretrained weights. The transformer takes the output of that model's 50th layer.

About 13B of the 33B parameters belong to AdaLN (adaptive layer normalization) branches, which rescale the network's internal values according to the conditions it is given. MiniMax says their outputs can be computed ahead of time and cached, so a deployment that only generates clips does not have to load them. So the 33B headline overstates what such a setup loads.

The H3-Omni-Transformer jointly predicts video and audio latents, which are then decoded into video and stereo audio, respectively. / H3-Omni-Transformer is a 33B-parameter dense, single-stream Transformer, with approximately 13B parameters residing in AdaLN-related branches. Because the AdaLN modulation outputs can be precomputed and cached, these parameters do not need to be loaded for inference-only deployment. / The H3-Encoder uses the full pretrained weights of Qwen3-VL-32B and provides the hidden states from its 50th layer to the H3-Omni-Transformer. — From the architecture overview, the H3-Omni-Transformer notes, and the H3-Encoder notes (retrieved September 29, 2026)
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Clips run 4 to 15 seconds at 24fps with 32 kHz stereo

Resolution is the figure to read carefully: the shorter side of the frame is 768 pixels by default, and the 2K in MiniMax's system overview depends on an extra step, H3-Regenerate-2K. That step is not part of the open weights.

MiniMax H3 output specification (official model card)

Item Specification
Duration 4 to 15 seconds
Resolution Shorter side 768 pixels by default; 2K only through H3-Regenerate-2K
Frame rate 24fps
Audio 32 kHz stereo
Aspect ratios 21:9, 16:9, 4:3, 1:1, 3:4, 9:16, among others
Dialogue Stable in 11 languages, including English, Chinese, Japanese, and Spanish

The listed aspect ratios run from 21:9 widescreen down to 9:16 vertical, with 4:3 and square formats in between. For spoken dialogue, MiniMax claims stable support in 11 languages and says others work to varying degrees.

Output duration / 4–15 seconds / Supports a wide range of aspect ratios, including but not limited to 21:9, 16:9, 4:3, 1:1, 3:4, and 9:16 / The shorter side is set to 768 pixels by default. / generation can be achieved with H3-Regenerate-2K / Output frame rate / 24 FPS / Output audio / 32 kHz stereo / Stable support for 11 languages: Arabic, Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, and Spanish. / Additional languages are also supported to varying degrees — From every row of the output specification table (retrieved September 29, 2026)
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Two checkpoints, one accepting up to 12 reference files

MiniMax split the release into two checkpoints, and the one you pick decides how you steer a clip: by pinning its first or last frame, or by handing over as many as 12 reference files. Both output video and audio together.

The two MiniMax H3 checkpoints and what they take in

H3-Base-FL2VA
Text only, text plus one image used as the first or last frame, or text plus two images used as both ends
H3-Base-Ref2VA
Up to 9 images, up to 3 video clips, and up to 3 audio clips (each clip 2 to 15 seconds, 15 seconds in total per type), with 12 files at most across all types

FL2VA covers the familiar modes. With no image it works as text-to-video, one image fixes the opening or closing frame, and two images fix both ends while the model fills in the motion between them.

Ref2VA is the one to reach for when a clip must feature a specific character or product, since it takes images, video, and audio as references in a single request. When your reference images come in mixed pixel dimensions, resize images to one size before upload so each file is framed the same way.

Supports zero, one, or two input images. / - No image input: Text-to-video mode / - One image input: First-frame-to-video or last-frame-to-video generation / - Two image inputs: First-and-last-frame-to-video generation / Supports multi-modal reference inputs: / - Images: ≤ 9 images / - Videos: ≤ 3 clips; each clip must be 2–15 seconds long; total duration ≤ 15 seconds / - Audio: ≤ 3 clips; each clip must be 2–15 seconds long; total duration ≤ 15 seconds / - Mixed inputs: Maximum number of files across all input types is 12 — From the H3-Base-FL2VA and H3-Base-Ref2VA rows of the input table (retrieved September 29, 2026)
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The MiniMax H3 open weights stop at 768p

The MiniMax H3 open weights contain one of the system's three modules, so a setup that runs entirely on your own hardware tops out at 768p, the resolution MiniMax gives for H3-Base. The other two modules prepare the input and raise the result to 2K, and the company keeps both on its own servers.

The three MiniMax H3 modules and what was released

  1. H3-Context-IR: turns a free-form mix of text and media into the structured context the generator reads (not released, API only)
  2. H3-Base: generates video and audio at 768p from that context (released)
  3. H3-Regenerate-2K: takes the 768p clip and the original context back into H3 and generates it again at 2K (not released, API only)

Only the H3-Base module was released

You download H3-Base from the MiniMaxAI/MiniMax-H3 repository on Hugging Face, where the weights come in BF16, a compact 16-bit number format. MiniMax says it publishes the complete weights so that others can keep developing the model, fine-tuning included.

One optimization also stayed behind. H3's final training stage used native sparse attention, which lowers the cost of long sequences by attending to only part of the input, but the first open release runs full attention only. The model card says the sparse implementation will follow in a later update.

H3-Base: Generates audio and video based on the H3-Context-IR output, producing results at 768p resolution. / We release the complete model weights to support further development, including fine-tuning. / The sparse-attention implementation is not included in the initial open-source release and will be published separately in a future update. / MiniMax H3 is released as two task-specific checkpoints. / The released checkpoints are CFG-distilled Omni Transformer model weights. / BF16 — From the module list, the architecture notes, and the checkpoint description (retrieved September 29, 2026)
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The 2K step and input preparation stay on the MiniMax API

H3-Context-IR, which prepares the input, and H3-Regenerate-2K, which lifts the output to 2K, are both missing from the open release, and MiniMax offers them through its API instead. Context-IR sits in front of H3-Base and rewrites a free-form mix of text and media into the structured input the generator expects.

MiniMax left Context-IR out because the module depends on a multi-stage workflow and several hosted models and services. The company still calls it critical to final output quality, and strongly recommends either building it into your pipeline through the API or writing your own preprocessing by following its Prompting Guidance.

Regenerate-2K works differently from an upscaler: instead of enlarging pixels, it hands H3 its own 768p result plus the original context and has the model generate the clip again at 2K. MiniMax says this recovers small text and fine detail that an upscaler would have to guess. As of September 29, 2026, the model card still lists the module as not yet open-sourced, with a release promised once it is ready.

The missing 2K step matters when you judge your own output. MiniMax's full 2K workflow combines a locally run H3-Base with its Open Platform API, and its reference clips come in 2K and 768p versions made through that API. Compare a fully local run with the 768p references, not the 2K ones.

If you only want to try H3 without hosting anything, the model card lists two online routes: MiniMax's API platform and its apps, which include the Hailuo AI web app and a desktop app. The license Q&A describes the API as available globally, with safeguards built in.

Because H3-Context-IR relies on a multi-stage workflow and multiple hosted models and services, it is not included in this open-source release. We provide an API that enables users to reproduce the behavior of the official workflow. / H3-Context-IR is critical to the quality of the final output, so we strongly recommend incorporating it into your generation pipeline or following the “Prompting Guidance” to build your own context-processing system. / instead of using a conventional dedicated super-resolution module, we use the H3 base model to regenerate its own low-resolution result through an in-context manner. / allowing it to recover information that conventional super-resolution methods would otherwise have to “guess,” such as small text and fine details. / Due to the complexity of the system, this module is not yet open-sourced. We will release it once it is ready. / The “Local Deployment of H3-Base” section provides a method for validating 768p output using only a locally deployed H3-Base. — From the H3-Context-IR and H3-Regenerate-2K sections and the Recommended Workflow introduction (retrieved September 29, 2026)
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Local runs use SGLang, vLLM, diffusers, or ComfyUI

MiniMax recommends four frameworks for running H3-Base yourself: SGLang, vLLM, diffusers, and ComfyUI. SGLang and vLLM are serving engines that run the model as a server other programs can call, and the model card links a cookbook for the first and a recipe page for the second. Hugging Face's diffusers is a Python library for generative models, while ComfyUI lets you build the pipeline by wiring nodes together on screen.

ComfyUI also has an official Comfy tutorial and two workflow templates, one for reference-to-video and one for text-to-video. If you would rather not write code, start there. The repository keeps the original checkpoints in FL2VA and Ref2VA folders next to a diffusers-format copy, and you can download only what your framework uses.

Running H3 on your own machine still counts as use under MiniMax's license. Where that machine sits, and where the clips are shown, decide whether the license covers you at all.

The repository hosts the original checkpoint (FL2VA/, Ref2VA/) and the diffusers format side by side, so scope the download to what your framework needs / We recommend the following inference frameworks to serve the model: / SGLang - see cookbook / vLLM - see vllm recipes / diffusers - see diffusers docs / ComfyUI - see Comfy tutorial; use R2V template / T2V template — From the download note and the recommended framework list (retrieved September 29, 2026)
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The MiniMax H3 license excludes the US, EU, UK, and Korea

The MiniMax H3 Community License, dated August 2, 2026, applies worldwide except in four excluded territories: the EU, the UK, South Korea, and the US. The agreement states at the top that its scope is limited to the Applicable Territory, and the licensor it names is Nanonoble.

MiniMax H3 Community License at a glance

License date
August 2, 2026
Licensor
Nanonoble Pte. Ltd.
Applicable Territory
Worldwide, minus the Excluded Territories
Excluded Territories
European Union, United Kingdom, Republic of Korea, United States
Commercial use
Allowed; above $20 million in yearly revenue, prior written authorization is required
Credit
"MiniMax H3" shown prominently in the commercial product's user interface
MiniMax H3 release date/License date: August 2, 2026. / The scope of this License Agreement (this “Agreement”) is expressly limited to the “Applicable Territory” as defined below. / “Applicable Territory” means worldwide, excluding the Excluded Territories. / “Excluded Territories” means the European Union, the United Kingdom, the Republic of Korea and the United States of America. / “We,” “Us” or “MiniMax” means Nanonoble Pte. Ltd.. — From the license date, the scope statement, and the definitions of territory and licensor (retrieved September 29, 2026)
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Japan sits inside the applicable territory

Japan is not on the excluded list, so use in Japan falls within the Applicable Territory. The territory is defined as the whole world minus those four, so every other country is inside it as well.

The clause that matters in practice concerns where the model and its outputs are used. Section V.4 bars running, copying, modifying, or distributing the model outside the territory, and the same bar covers displaying what the model generates. Read literally, that means a team in Japan showing generated clips to viewers in the US or the EU would be acting outside what the license allows.

You may not use, reproduce, modify, distribute, or display the MiniMax H3 Works or any of their Outputs or results outside the Applicable Territory. Any such use outside the Applicable Territory is not authorized by this Agreement. — From the use restriction on the territory (retrieved September 29, 2026)
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MiniMax says the exclusion means "not yet"

In its license Q&A, MiniMax says the current limit means "not yet", not "not ever", so it presents the exclusion as a matter of timing. The reason it gives is regulation. Video models, it argues, face a more complex and faster-changing set of rules than text or code models.

The Q&A then goes region by region. It notes that enforcement of the EU AI Act has started while the practical requirements for video and likeness generation are still taking shape. The UK and South Korea, it says, carry similar uncertainty, and in the US MiniMax is itself involved in ongoing copyright proceedings over generative video AI.

MiniMax says it had two options, holding the weights until every jurisdiction settled its rules or releasing now under a clearly scoped license, and it chose the second. Organizations in the four excluded territories can apply for a formal license, and MiniMax may approve use after reviewing the deployment and its safeguards. The API, it adds, is available globally with built-in safeguards.

The current territory scope is not about excluding specific countries or regions, but about recognizing that video generation models are facing a more complex and rapidly evolving regulatory environment compared with text or code models. / The EU AI Act has started enforcement, while practical requirements for models capable of generating video and likeness-related content are still evolving. / Similar regulatory uncertainties exist in the UK and South Korea regarding AI-generated content and video generation. / In the US, AI regulation remains a rapidly changing landscape, and MiniMax is also involved in ongoing copyright-related legal proceedings specifically concerning generative video AI. / We chose the second approach. The current limitation means "not yet", not "not ever." / API: Globally available with built-in safeguards and responsible-use controls. / Organizations in these regions can apply for a formal license. After reviewing the deployment scenario and confirming that appropriate compliance controls and safeguards are implemented, MiniMax may authorize usage. — From the answers on why the territory is limited and whether organizations in restricted regions can use H3 (retrieved September 29, 2026)
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Commercial use needs visible credit and approval above $20M

Commercial use is allowed inside the territory, but the product must credit "MiniMax H3" prominently in its user interface. Businesses whose commercial products and services pass $20 million in yearly revenue also need the licensor's written approval first, requested at api@minimax.io under a subject line the license spells out. Running H3 in the backend of a paid service with no visible credit would not meet the display clause.

Put together, the H3 release is a set of free weights for a 768p audio-and-video generator under a license that excludes the US, EU, UK, and South Korea, with the 2K and input-preparation steps kept on the API. Before building on it, check where your users and viewers are, whether 768p is enough without the API steps, and whether your yearly revenue tops $20 million.

Open-weight text models ship under different terms. Compare GLM 5.2 benchmarks, pricing, and Claude Code setup with DeepSeek V4 Flash 0731: Benchmarks and MIT License.

You shall obtain a separate, prior written authorization from MiniMax by contacting api@minimax.io with the subject line “MiniMax H3 licensing - authorization request”, if your commercial products and services generate more than 20 million US dollars (or equivalent in other currencies) in yearly revenue. / You shall prominently display “MiniMax H3”on the user interface of commercial product or service that uses MiniMax H3 or MiniMax H3 Works. — From the revenue threshold and the display duty (retrieved September 29, 2026)
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FAQ

Is MiniMax H3 licensed for use in Japan?
Yes. The license covers the world minus its Excluded Territories, which are the European Union, the United Kingdom, the Republic of Korea, and the United States. Japan is not on that list, so it sits inside the Applicable Territory. A team in Japan still needs to keep use of the model, and display of its outputs, out of those four territories.
Can MiniMax H3 be used commercially?
Yes, inside the Applicable Territory and under two additional commercial terms. A business whose commercial products and services pass $20 million in yearly revenue needs separate prior written authorization from MiniMax. Any commercial product or service that uses H3 must also show "MiniMax H3" prominently in its user interface.
Can the MiniMax H3 open weights make 2K video locally?
No. The released module, H3-Base, produces 768p results. The 2K step, H3-Regenerate-2K, has not been open-sourced, so MiniMax's own 2K workflow pairs a locally run H3-Base with its Open Platform API. As of September 29, 2026, the model card still says H3-Regenerate-2K will be released once it is ready.
Is MiniMax H3 open source?
MiniMax calls it an open-source release, and you can download the H3-Base weights from Hugging Face. Those weights come under MiniMax's own community license, though, which limits where they may be used and adds commercial conditions. Two of the three modules in the H3 system are also left out of the release.