English(EN) MiniMax-M3 expands what agents can carry into context: long histories, images, video, documents, and tool outputs.

Together 的 MiniMax-M3 通过增强的推理能力扩展了代理上下文

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-19 18:01

Together 发布了 MiniMax-M3，这是代理功能的一项进步，显著扩展了上下文窗口。这一新版本允许代理处理和保留来自长历史记录、图像、视频、文档和工具输出的信息。通过 Together 的推理优化，该开发能够大规模部署，这些优化提高了令牌吞吐量，并增加了每 GPU 花费的成本可以自动化的工作量。 AI

影响使 AI 代理能够处理和保留更多样化的信息，从而可能加速自动化和复杂任务的执行。

排序理由 Frontier-lab 模型发布，带有系统卡 [lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 X — Together (inference / OSS) 阅读 →

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

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; Frontier-lab 模型发布，带有系统卡 [lever_c_demoted from 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, 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: 71 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]

X — Together (inference / OSS) TIER_1 English(EN) · togethercompute · 2026-06-19 18:01

MiniMax-M3 扩展了代理可以携带到上下文中的内容：长历史、图像、视频、文档和工具输出。

MiniMax-M3 expands what agents can carry into context: long histories, images, video, documents, and tool outputs. Together’s inference work makes that practical at scale by improving token throughput across the serving path. More tokens per GPU means more work automated per

本文如何被排名

报道来源 [1]

MiniMax-M3 扩展了代理可以携带到上下文中的内容：长历史、图像、视频、文档和工具输出。

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