Drex Max tops Artificial Analysis Decision Index
Nace AI's multimodal 27B model scored 72.6 on the Artificial Analysis Decision Index, capturing first place ahead of Claude Haiku 5.5 and GPT-6 Luna. By predicting discrete choices in a single forward pass instead of generating text autoregressively, it delivers 183ms latency and $103 pricing per million tasks.
Autoregressive token generation is wasteful overhead for structured routing—foundation decision models prove that dedicated readout heads beat general LLMs on cost, latency, and reliability.
- –Single-pass inference removes JSON parse failures, hallucinated choices, and option-ordering sensitivity by emitting calibrated probabilities over predefined targets.
- –Scoring #1 on AA-Paperclip confirms state-of-the-art capability on complex enterprise document extraction and multi-criteria routing.
- –Sub-200ms turnaround at roughly 25% lower cost than nearest competitors makes high-frequency agent loops significantly more practical.
- –The open-weights release strategy provides an inspectable, self-hostable decision layer for privacy-critical enterprise workflows.
DISCOVERED
21m ago
2026-11-13
PUBLISHED
57m ago
2026-11-13
RELEVANCE
AUTHOR
omarsar0