JEV-27B-VL brings accurate, calibrated visual decisions to long-context workflows. 🤖 📄 🏆 Ranks #1# among 20 models on the independent Decision Index Vision board, with 77.8% accuracy across 13,695 examples. 🎯 Its confidence scores closely track real accuracy, achieving an ECE of 0.019 for reliable threshold-based decisions. 📚 System 1 supports image-and-text prompts up to 256K tokens, with yes/no, 0–5 scoring, or selection from as many as 256 options. ⚡ Each System 1 query returns a calibrated probability for every option in one forward pass, while System 2 handles step-by-step multimodal reasoning. 👁️ The decision adapter was trained only on text, yet its zero-shot vision performance exceeds the 397B Qwen3.5 reference by 6.4 points on the board’s full score. 📜 Open weights under Apache 2.0.