MiniMax H3: Multimodal Open-Weights Video Model with Native Stereo Audio

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MiniMax H3 is an open-weights, multimodal video model that processes text, images, video, and audio in a single context, generating up to 15 seconds of 2K video with native stereo sound.

Key points

  1. Handles multimodal prompts with up to 9 images, 3 video clips, and 3 audio tracks (maximum 12 reference files) in a single request.
  2. Produces 2K video at 24 fps (5 to 15 seconds) with synchronized stereo audio covering score, dialogue, foley, and ambient sound.
  3. Enables precise localized video edits such as object swaps, relighting, legible typography, UI animation, and voice transfer.
  4. Accessible via endpoints for text-to-video, first-and-last-frame animation, and reference-to-video.
  5. Available via fal.ai serverless APIs, including an inference-optimized 768p variant named MiniMax H3 Max for fast generation.

Why it matters

Unifying open weights with native audiovisual generation and rich multimodal referencing significantly reduces the friction of chaining discrete tools for video generation, inpainting, and audio production.

Analysis

MiniMax H3 avoids fragmented pipelines by taking multiple modalities into a single context window. The model's capacity to handle legible text, UI elements, and voice cloning in one workflow addresses common pain points in generative video, while fal's hosted H3 Max variant targets rapid prototyping latency.

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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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  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

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