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# Drex Max

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  1. NaceAI

    Decision models skip the generated answer: Drex Max scores 67.52 on a public decision suite and answers in 183 ms

    Drex turns choosing into a single forward pass: given a context, a question and a set of options, the model returns a probability for every option instead of parsing text written by a large model. Drex Max, the largest of four open decision models, scores 67.52 on the public Decision Index 0.4.1 suite against 60.70 for Jev 1.14.0, and drops less than a point when private tests are added. On Decision Bench v4 with raw image input it is statistically tied with d3-turbo and GPT-6 Sol, answering a typical request in 183 ms.

  2. NaceAI

    Drex Max scores 67.6 on the public Decision Index and returns a visual decision in 183 ms

    Nace released Drex Max, a decision model that reads screenshots, screencasts, scanned documents, charts or photos and, given a set of typed questions, returns a probability for every supplied option in one forward pass. A computer-use agent can face about thirty such small decisions in a single task, and each one previously meant sending a screenshot to a large frontier model and waiting seconds; Drex Max scores 67.6 on the public Decision Index 0.4.0 against 61.3 for Drex v2.0, with a median API latency of 183 ms and $0.06 per 1,000 decisions.

  3. NaceAI

    Drex Max turns decision models into screen readers: 67.6 on the public Decision Index at 183 ms per decision

    Nace released Drex Max, a decision model that writes no text: given a screenshot, screencast, scanned document, chart or photo plus a set of typed questions, one forward pass returns a probability for every option supplied. It scores 67.6 on the public Decision Index 0.4.0, above Drex v2.0 at 61.3 and Drex v1.5 at 58.1, and 74.5 on the public Vision Index. Median API latency is 183 ms per decision and cost is $0.06 per 1k decisions.

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