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English(EN) M3 is running together 🤝 with @togethercompute, and with faster-than-ever inference

MiniMax M3 多模态模型现已在 Together AI 平台上线

MiniMax AI 的 M3 模型现已在 Together AI 平台上可用,提供增强的推理速度。这款开放权重多模态模型拥有 100 万个 token 的上下文窗口,并采用了 MiniMax Sparse Attention,以及独特的思考和非思考操作模式。Together AI 被强调为 MiniMax 的主要云合作伙伴,为模型的优化性能做出了贡献。 AI

影响 提高了 M3 多模态模型的可访问性,并可能降低其推理成本。

排序理由 现有模型在新云平台上可用。

在 X — MiniMax AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

MiniMax M3 多模态模型现已在 Together AI 平台上线

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
现有模型在新云平台上可用。
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
140 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. X — MiniMax AI TIER_1 English(EN) · MiniMax_AI ·

    M3 与 @togethercompute 携手合作,推理速度前所未有

    M3 is running together 🤝 with @togethercompute, and with faster-than-ever inference