Nace AI releases Drex technical report and 27B Drex Max decision model

The Palo Alto startup's flagship model scores 67.52 on Decision Index 0.4 with a median latency of roughly 183 milliseconds Most AI models answer a question by writing. Nace AI wants its models to simply decide. The Palo Alto startup has published a technical report titled “Towards Foundation Decision Models: Drex” on arXiv, released around November 5, 2026. Alongside it comes Drex Max, a 27-billion-parameter model built to pick from a set of options rather than generate paragraphs of text. The pitch is speed and cost. Nace AI says Drex Max hits a median response time of approximately 183 milliseconds. Comparable systems, by the company’s measure, take between 2 and 3.5 seconds to respond. What Drex Max actually does Technically, the model returns calibrated outputs tied to those user-defined choices. It does this in a single forward pass instead of using the autoregressive approach common to chat-style models. The model is also multimodal. Drex Max accepts text, images, JSON and video as inputs. It supports a 262,000-token context window. On benchmarks, Drex Max scored 67.52 on Decision Index 0.4. Nace AI describes that result as a new state-of-the-art among decision models. How t...