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MiniMax has released initial weights for its H3 multimodal video model. It appears particularly strong in video editing, while its license and incomplete component release limit the scope of the open-source claim.
MiniMax launched H3 in late July 2026 and subsequently published initial model weights on Hugging Face. The multimodal system is designed for text-to-video, image-to-video, and workflows that combine image, video, and audio references, with a focus on commercial production and post-production effects.
Calling the release fully open source would be misleading. The initial package does not include the sparse-attention implementation, some complex system components remain unavailable, and the model is distributed under a community license with usage and territorial conditions that require review.
Available reporting suggests that H3 is highly competitive for video editing, but it does not lead every generation category. It reportedly trails some competing systems in text-to-video and image-to-video evaluations. Claims that it universally matches SOTA or delivers roughly 80% of Seedance 2.0’s quality remain unverified.
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Artificial intelligence Tech # Video AI: MiniMax challenges ByteDance with low price, open weights for new H3 model Firm aims to ‘support open-source community’ and a ‘broad range of hardware’, as H3 model bests Seedance 2.0 in some tasks 2-MIN READ2-MIN Listen People walk past the MiniMax booth during the World Artificial Intelligence Conference in Shanghai on July 17. Photo: Reuters Xinmei Shen Chinese AI firm MiniMax has launched H3, its newest multimodal video generation model, pledging to break closed-source “dominance” through open weights and competitive pricing – as rival ByteDance rolls out its latest Seedance 2.5 model. [...] H3 was currently the world’s most powerful AI model in video editing, according to benchmark platform Artificial Analysis. However, it trailed Google’s Gemini Omni Flash in text-to-video tasks, and ranked behind both ByteDance’s Seedance 2.0 and Gemini Omni Flash in image-to-video capabilities. Designed for commercial content creation across fil
To reduce the computational cost of long multimodal sequences, H3 natively supports sparse-attention training and inference. The initial open-source release provides inference with full attention only. Our sparse-attention implementation will be released in a future update. [...] The model uses three-dimensional Multimodal Rotary Position Embeddings (MM-RoPE) to represent positional relationships across the temporal and two spatial dimensions, `(t, h, w)`. During the final stage of training, we introduce native sparse attention to reduce the computational cost of long sequences. The sparse-attention implementation is not included in the initial open-source release and will be published separately in a future update. [...] Due to the complexity of the system, this module is not yet open-sourced. We will release it once it is ready. We provide an API for validating the official results; see "Full 2K Workflow" below.
只要涉及到一切跟视觉包装相关的工作，它干的都极佳。 如果说，Seedance更偏向与前期，更重影视和特效，那H3我觉得，就更偏向后期，更重广告与动效。 两者相辅相成，终于补全了整个视频制作的全流程。 网址在此： 在首页上，你就能看到这次全新的H3了，也是一个原生多模态模型。 在纯粹的功能上，非常的全面，全能参考啥的也都有。 支持视频图片音频等等的各种参考，最多12个。 参数上，目前开放的直接是2K，甚至768P的都暂时还没开放，最多15s。 价格上2K的效果，1秒是12贝壳，差不多就是10块钱一条15秒的2K视频。 动作参考、指定元素替换、换背景、改写视频、实拍视频加特效、绿幕换背景、白模视频上色、视频续写延长、视频整体参考等等这些常用的功能，也都没啥问题，而且效果不错。 这次的重点，我们自然还是要回到，视觉包装上。 其实我们会发现在过去半年里面，AI视频加速的最多的是AI短剧赛道。 而传统的商业广告、宣传片、综艺等等，AI介入的好像还没有那么多。 原因特别简单，过去我们一直在做的AI视频模型更像是一台很强的虚拟摄影机，它们能够凭空创造一个世界，然后把这个世界拍下来，记录下来。 但是，摄像机拍完以后，一条真正意义上的视频，其实才刚刚开始。 因为人类最终看到的绝大多数视频，都不是现实世界原封不动的切片。 我们会剪辑，会加字幕，会设计片头，会制造转场，会用图形、文字、UI和特效重新组织信息。 这些东西，现实世界里原本都不存在。 它们全部是人类创造出来的视觉语言。 这些就是视觉包装。 最典型的就是综艺里面经常会加的花字。 这种以前AI视频几乎没有办法去处理，因为很难生成稳定加准确的文字，且很难理解文字与视频素材和视频内容之间的关系。 但是这一次，MiniMax H3可以搞定这种了。 [...] # MiniMax H3发布，还要开源，AI视频终于有了自己的后期之王 头像 2026-07-31 10:21发布于北京科技领域创作者 问AI · AI视频模型为何长期忽视视觉包装需求？ 今天，被Seedance 2.0压制了整整半年，沉寂了很久的AI视频模型行业，终于又有了点新的动向了。 MiniMax，终于掏出了他们的H3模型。 最后绕不开的那个名字，依然是Seedance 2.0。 它就像那一堵最高的山。 以至于过去
| License | MiniMax H3 Community License AgreementSource-available, with territory restrictions — check the repo before deploying | [...] ## Introducing MiniMax H3 Video generation has been the last major modality where the closed labs kept a comfortable moat. Weights stayed private, iteration was slow, and if you wanted frontier-quality video you rented it through someone else's API. That changed twice in the space of three days. MiniMax announced H3 on July 31, 2026 as an API-only product, then published the weights to Hugging Face on August 3 under the MiniMax H3 Community License. It's the strongest open-weight video model released to date, and unlike most of the "open" video releases before it, the audio isn't a separate stage bolted on afterward. Here's what H3 actually is, what MiniMax did and didn't open-source, and how to size GPUs for it on Runpod. ## What makes H3 different [...] ## A note on the license We would be remiss if we did not mention that the license appears
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# 开源的春天，闭源的噩梦！MiniMax-H3效果炸裂，seedance不再一家独大！ ## yue gu 559 subscribers 30 likes ### Description 1125 views Posted: 3 Aug 2026 #runninghub #comfyui #海螺ai 👇 点击下方链接注册，领取1000 RH币免费在RTX4090上运行： 国内 (.cn)： 全球 (.ai)： 国内工作流： 海外工作流： 夸克网盘： 文档： 1 comments ### Transcript: