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English(EN) MiniMax H3 Open-Sourced: H3-Omni-Transformer With 33B Parameters Benchmarks Against Seedance 2.0 at One-Third API Price, Runs Locally on Two RTX 5090 Cards

MiniMax 开源 330亿参数 H3-Omni-Transformer 模型,价格低于Seedance 2.0

MiniMax 已开源其拥有330亿参数的H3-Omni-Transformer模型。该模型设计用于高效运行,其API定价仅为Seedance 2.0的三分之一,并可在两块RTX 5090显卡上本地运行。此次发布包括HuggingFace上的权重,并采用了先进的压缩技术。 AI

影响 为高级AI任务提供了一个强大且经济高效的开源替代方案,可能降低研究人员和开发者的入门门槛。

排序理由 前沿实验室模型发布,附带系统卡。[lever_c_从前沿发布降级:ic=1 ai=1.0]

在 Pandaily 阅读 →

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MiniMax 开源 330亿参数 H3-Omni-Transformer 模型,价格低于Seedance 2.0

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Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
前沿实验室模型发布,附带系统卡。[lever_c_从前沿发布降级:ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
35 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准

报道来源 [1]

  1. Pandaily TIER_1 English(EN) · [email protected] (Pandaily) ·

    MiniMax H3 开源:H3-Omni-Transformer 参数量达330亿,API价格为Seedance 2.0的三分之一,可在两张RTX 5090显卡上本地运行

    MiniMax releases H3-Base weights on HuggingFace, with 33B dense single-stream Omni-Transformer, 16x spatial and 4x temporal compression VAE, and API pricing at one-third of Seedance 2.0.