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English(EN) 📰 Meet Drex Max: Nace AI’s Multimodal Decision Model for Computer-Use Agents with a Score 67.59 Nace AI released Drex Max, a multimodal decision model that read

Nace AI 发布 Drex Max 多模态决策模型

Nace AI 发布了 Drex Max,一个专为计算机使用代理设计的新型多模态决策模型。该模型可以处理文本和图像,返回校准后的概率而不是生成文本。Nace AI 报告称,Drex Max 在 Decision Index 0.3.2 基准测试中取得了 67.59 的分数,超过了 Jev 1.14 等之前的模型。该模型可通过托管 API 使用,定价为每 100 万个输入 token 0.06 美元。 AI

影响 该模型的多模态决策能力可以提高代理在复杂、视觉驱动任务中的性能。

排序理由 特定 AI 实验室发布新模型。[lever_c_demoted from frontier_release: ic=2 ai=1.0]

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AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

Nace AI 发布 Drex Max 多模态决策模型

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Signal score
27 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
特定 AI 实验室发布新模型。[lever_c_demoted from frontier_release: ic=2 ai=1.0]
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2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
model release, product
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [2]

  1. MarkTechPost TIER_1 English(EN) · Michal Sutter ·

    认识 Drex Max:Nace AI 的多模态决策模型,用于计算机使用代理,得分 67.59

    <p>Nace AI released Drex Max, a multimodal decision model that reads text and screenshots and returns calibrated probabilities. Nace reports 67.59 on Decision Index 0.3.2 at $0.06 per 1M input tokens.</p> <p>The post <a href="https://www.marktechpost.com/2026/10/19/nace-ai-drex-m…

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    📰 认识 Drex Max:Nace AI 的多模态决策模型,用于计算机使用代理,得分 67.59 Nace AI 发布了 Drex Max,一个多模态决策模型,能够读取

    📰 Meet Drex Max: Nace AI’s Multimodal Decision Model for Computer-Use Agents with a Score 67.59 Nace AI released Drex Max, a multimodal decision model that reads text and screenshots and returns calibrated probabilities. Nace reports 67.59 on Decision Index 0.3.2 at $0.06 per 1M …