MiniMax H3 is a new multimodal generation model that handles text, images, video and audio in a unified framework. It can generate up to 15-second clips at 2K resolution with native stereo sound. Early tests show H3 follows complex instructions—like combining camera movements from one video, a character image from another, and separate audio—and renders precise text and branding. Compared to mainstream offerings, H3 costs under one-third per second at 2K and under half at 768p. Under the hood, H3 relies on four core technologies. Contextual Omni Representation turns all inputs—video, audio, images—into a unified language description, letting the model parse relationships across modalities. H3-VAE overhauled the tokenizer to boost compression and extend effective sequence length fourfold, powering that native 2K output. The Omni Transformer splits understanding and generation workloads to balance compute across variable sequence lengths, lifting throughput by about 30%. Finally, In-Context Regeneration refines outputs on the fly, stitching context and target seamlessly. The team plans to release the model weights soon, subject to legal and regulatory limits. They built H3 for broad hardware compatibility from day one, aiming to spur an open‐source ecosystem. By collapsing the usual silos—text-to-video, image-to-video, audio-to-audio—H3 moves beyond specialized pipelines toward a single, general-purpose engine for creative content.