Nace AI releases Drex Max decision model
MarkTechPost: Meet Drex Max: Nace AI’s Multimodal Decision Model for Computer-Use Agents with a Score 67.59
Nace AI has released Drex Max, a multimodal decision model for agents that use computers and browsers. The Drex Max multimodal decision model reads text and images and returns calibrated probabilities. It writes no text. Nace team reports 67.59 on the public Decision Index 0.3.2, 6.9 points above TypeSafe’s Jev 1.14. For agent builders, that means one cheap, typed call per click. TL;DR Size: Parameters not disclosed. Up to 262,144 tokens per question on the API, including image tok
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A multimodal decision model is software that analyzes text and images to answer specific typed questions by returning probability distributions rather than generating new text. This model scores 67.59 on a public benchmark, exceeding a competing model's score by 6.9 points, and processes screenshot decisions faster than alternatives while charging $0.06 per million input tokens with no charge for output tokens. Decision models differ from text-generating systems because they can only answer with predefined options provided by the user, making them useful for computer-use agents that need to make choices about what action to take next. The model is available only through a hosted API with closed weights and has not publicly disclosed its parameter size.
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