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MiniMax M3 在 Fireworks AI 上发布,拥有 512K 上下文

MiniMax AI 推出了其 M3 模型,可在 Fireworks AI 平台上使用。这款新模型拥有 512K 的上下文窗口,支持原生图像和视频输入,并利用 MSA 稀疏注意力技术显著提高了预填充和解码速度。它被定位为 MiniMax 系列中最快的端点,并在 Artificial Analysis 指数中被列为顶级开源模型,定价与其前代 M2.7 相当。 AI

影响 通过大型上下文窗口和高效推理加速多模态代理能力。

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

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 在 Fireworks AI 上发布,拥有 512K 上下文

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
Significant
前沿实验室模型发布,附带系统卡。[lever_c_降级自 frontier_release: 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, product, 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
94 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 ·

    第一天就登上 @FireworksAI_HQ,实现闪电般的推理速度

    day-0 and already on @FireworksAI_HQ with blazing fast inference long-horizon agents, full-repo understanding, multimodal coding all in one model Try M3 today on Fireworks AI