MiniMaxMiniMax·🎬 Video Generation·New

MiniMax H3 Max Recast

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Quick reference
MiniMax H3 Max Recast — TLDR
  • 🎬 Video generation model from MiniMax's H3 Max line
  • 🏢 Built by MiniMax, a Chinese AI lab
  • 🎯 Specialized "Recast" variant alongside H3 Max siblings
  • 🎨 Aimed at stylized, re-rendered video output
  • ⚡ Part of a broad H3 video family with multiple modes
💰 Pricing
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📅 On Venice since
Oct 7, 2026
2 days ago
Provider

MiniMax is an AI company building generative models across multiple modalities, with a focus that spans both language understanding and audio creation. Their rapid release cadence in early 2026—delivering several new models within just a few months—reflects…

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20 models on Venice
12 video · 4 text · 3 music · 1 tts
Since Feb 12, 2026

About this model

MiniMax H3 Max Recast sits in the top "Max" tier of MiniMax's H3 video generation family, arriving in October 2026 as a specialized variant rather than a general-purpose base generator. Where the core H3 Max handles text-to-video and image-to-video generation directly, the Recast configuration targets recasting work — reworking and re-rendering footage and subjects through the same high-end H3 Max pipeline.

The H3 line is unusually wide for a video family, with distinct entry points for reference-driven generation in H3 Max R2V, latency-optimized output in H3 Max Turbo, and camera-perspective control in H3 Max Multi-Angle. Recast slots into that set as the transformation-oriented option, complementing MiniMax's non-video work in text models like M2.7, music generation, and speech synthesis.

It is best suited to creators who already have source material or a defined subject and want to reinterpret it at the quality level of the Max tier, rather than those generating entirely new scenes from a blank prompt — for that, the standard H3 Max or Turbo variants are the more direct fit.

This About section is AI-generated from public sources (Claude Opus 5), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.

Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 2d ago