MiniMax Announces Multimodal Generation Model H3

ArticleMiniMax ResearchAnnouncement

MiniMax has announced MiniMax H3, a general-purpose multimodal generation model that unifies text, image, video, and audio understanding and generation. It produces up to 15-second videos in native 2K resolution with stereo audio, with weights planned for open release.

Key points

  1. Processes multimodal context across text, images, video, and audio, generating up to 15 seconds of 2K video with native stereo sound.
  2. Unifies previously fragmented task models (T2I, I2V, editing, motion reference, audio) into a single framework driven by natural language.
  3. Employs core technical updates: H3-VAE with a 4x effective sequence length gain, H3-Omni Transformer, and In-Context Regeneration replacing super-resolution modules.
  4. MiniMax claims per-second pricing is under one-third of mainstream models at 2K, and under half at 768p compared to 720p alternatives.
  5. Model weights are scheduled to be released publicly in the coming days, subject to applicable regulations.

Why it matters

Video generation has largely been dominated by closed-source services. By announcing an upcoming weight release and native audio-visual generation, MiniMax lowers the barrier for custom commercial pipelines across advertising, e-commerce, and UI/UX design while driving down inference costs.

Analysis

H3 represents an architectural shift from specialized generation pipelines toward task generalization. By relying on Contextual Omni Representation, the model interprets relationships between diverse reference inputs (such as matching a specific vocal track to a face and a camera movement) without requiring distinct dedicated models. Additionally, the in-context regeneration approach avoids hallucinated super-resolution artifacts by using multimodal context to accurately reconstruct fine details like text.

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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