Nace AI launches Drex Max multimodal decision model
A decision model tuned for reading screens first could simplify computer-use and browser-use agents, where each step currently depends on interpreting the display before acting. Developers building such agents can evaluate it against Jev 1.14 on Mind2Web and the Decision Index. At US$0.06 per 1M input tokens, pricing is a concrete comparison point for teams balancing latency and cost.
Nace AI released Drex Max, a multimodal decision model that processes text, images, and video. The model makes decisions directly from screenshots, screencasts, scanned documents, scientific charts, and photos. Nace reports 88.3% on Mind2Web, outperforming Jev 1.14, and a score of 67.6 on the Decision Index versus 60.70 for Jev 1.14. Drex Max runs at 34 ms per decision and handles up to 262K tokens in under 1 second, priced at US$0.06 per 1M input tokens. It is available today at nace.ai/drex.
Decision models are going multimodal. Drex Max looks really strong. It can make fast decisions straight from screenshots, screencasts, scanned documents, scientific charts, and photos. This model is a really good fit for computer-use and browser-use agents, where every step starts with reading the screen. Nace reports 88.3% on Mind2Web (outperforms Jev 1.14). Drex Max also scores 67.6 on the Decision Index (Jev 1.14: 60.70). Your browser does not support the video tag. 🔗 View on Twitter Nace AI @NaceAI Drex Max is here: our multimodal decision model text, images, and video 34 ms/decision, under 1s at 262K tokens $0.06 / 1M input tokens available today at nace.ai/drex Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 4 🔄 0 ❤️ 16 👀 1952 📊 5 ⚡
