MiniMax H3 - A universal full-modal generative model launched by Xiyu Technology

What is MiniMax H3?

MiniMax H3 is a general-purpose, multi-modal generative model launched by Xiyu Technology. It breaks down traditional task and modal boundaries, supporting unified understanding and native generation of text, images, video, and audio. The model can output native dual-channel audio and video, supporting up to 15 seconds of 2K resolution, and performs excellently in commercial scenarios such as instruction compliance, brand information presentation, and video-to-video motion transfer. MiniMax H3 employs self-developed technologies such as Contextual Omni Representation and H3-VAE, and its price per second at 2K resolution is less than one-third of mainstream models.

Main functions of MiniMax H3

• Unified generation of all modesIt supports unified understanding and native generation of text, images, videos, and audio, breaking the boundaries of traditional modalities.
• Native dual-channel audio and video outputIt can directly generate videos with native dual-channel audio, without the need for post-dubbing.
• Multimodal context understandingIt can simultaneously process multiple input sources such as reference videos, images, and audio, and complete complex creations according to natural language instructions.
• Video-to-video motion transfer (V2V Motion Transfer)It allows you to transfer actions from a reference video to the target person.
• Broad Reference and EditingIt supports various editing and reference tasks, such as image-to-image, image-to-video, audio-to-audio, and audio-video-to-audio-video.
• Multi-camera modelingIt natively supports multi-camera storytelling without the need for step-by-step generation and stitching.
• High resolution outputIt offers 2K resolution by default, with image detail reaching commercial-grade levels.

The technical principles of MiniMax H3

• Contextual Omni RepresentationMiniMax H3's core capability stems from its ability to construct multimodal representations of context. While traditional models only need to describe the target content, H3 requires understanding the relationship between the multimodal context and the target output, and even the connections between elements within the context. To this end, MiniMax has customized a dedicated multimodal understanding pipeline, consuming approximately 100,000 tokens per inference iteration, ultimately generating an average of about 4,000 tokens of detailed description. Language acts as a generalizable bridge for connection and interpretation, enabling a unified form of open description for tasks.
• H3-VAE (High-Efficiency Visual Audio Coding)MiniMax H3 completely revolutionizes the previous generation of tokenizer technology, achieving comprehensive improvements in reconstruction quality and ease of learning. The encoder features a high compression ratio, resulting in a 4x gain in sequence length, significantly reducing training and inference costs, while also supporting native 2K resolution output.
• H3-Omni Transformer (Heterogeneous Training Architecture)With a focus on task generalization, H3 abandons the dedicated architecture that offered significant advantages in its predecessors, opting instead for a simpler and more general design. Due to the introduction of multimodal context, the sequence length variance increases by a factor of three, leading to significant heterogeneity in the computational load between the understanding and generation parts. H3 employs a heterogeneous training architecture for understanding and generation, finely tuning hardware utilization under different loads, and jointly optimizing heterogeneous computation per sample and load balancing between samples, resulting in an end-to-end improvement of nearly 30% in training throughput.

How to use MiniMax H3

• Access PlatformVisit the MiniMax website or access its API.
• Prepare multimodal materialsUpload contextual materials such as reference videos, images, and audio.
• Input natural language commandsDescribe your creative intentions in natural language, such as "Refer to the camera movement in video 1, and have the character in figure 2 sing, with the singing referenced in audio 3".
• Generate and PreviewThe model automatically understands the multimodal context and generates native dual-channel audio and video.
• Download and secondary editing: Obtain output results at a maximum resolution of 2K for commercial applications.

MiniMax H3's core advantages

• Strong task generalization abilityIt unifies independent tasks such as text-to-image, text-to-video, text-to-audio, and reference editing into a single model, greatly increasing the degree of freedom in its use.
• Commercial-grade cost performanceThe price per second is less than 1/3 of the mainstream model at 2K resolution and less than 1/2 at 768P resolution, significantly reducing content production costs.
• Native audio generationAll audio outputs are native stereo, not post-processed, resulting in more natural audio-visual synchronization.
• Domestic chip compatibilityThe design was initially considered to be compatible with multiple domestic chips, which is beneficial for localized deployment.