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Open source

MiniMax H3-Base

Announced 2026-07-31 with H3-Base weights following in August, under the MiniMax H3 Community License (not Apache; US/EU/UK/KR users must apply separately). A 33B dense transformer with a Qwen3-VL-32B text encoder, native 768P plus stereo audio. Note that only H3-Base is open — instruction understanding (Context-IR) and the 768P→2K upscale stay on the API. The official deployment example uses 4× 80GB cards, a completely different cost curve from the ¥0.50/sec API row above.

4×80 GB
VRAM floor
33B+32B
Parameters
1
open-weight models

Open source Highest bar

Weights are free, hardware is not: you buy the GPU up front (one-time estimate, may rise) and still pay for power and time. Six of the twelve are Apache 2.0 (HappyHorse-1.0, SANA-WM, Bernini, MAGI-2, LingBot-Video, LongLive 2.0); LTX-2 and LTX-2.5 use community licences and SANA-Video uses the NVIDIA Open Model License. Hardware runs from one RTX 5090 to 8× H100. See all 12 →

Hardware requirements, as published

VRAM floor
4× 80GB
Official hardware
The official example uses 4× 80GB cards
Output
768P plus stereo audio; 2K upscale and Context-IR stay on the API
Size
33B dense plus a Qwen3-VL-32B text encoder
Licence
MiniMax H3 Community Licence (US / EU / UK / KR users must apply separately)
The official local-deployment example uses 4× 80GB cards.MiniMax · huggingface.co/MiniMaxAI/MiniMax-H3
1 records · showing Specs checked 2026-11-10 · hardware 2026-10-21
# Platform / model Layer VRAM · setup One-time hardware
— OSSMiniMax H3-Base ↗MiniMax · 2026-08 · community licence · 33B + 32B encoder Open source 4× 80 GBOfficial example: 4× 80GB ≈ ¥1,000,000 · one-time4× H100 80GB · estimate, may rise · cloud rental is more practical
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