SciTech Pulse
AI Models

New AI Model BDH-CQ Claims to Run 11 Times Cheaper Than a Leading OpenAI Model

Pathway scientists detailed a new AI model, BDH-CQ, built on a brain-inspired predecessor, in a preprint reporting sharply lower running costs than a leading OpenAI model.

A new artificial intelligence model has been designed to dramatically cut the cost of running AI requests using a novel approach to machine cognition, and its creators suggest nonverbal reasoning could be a step toward more human-like machine intelligence. Scientists at the AI company Pathway detailed the technical foundations of the model, called BDH-CQ, in a paper published Aug. 10 on the server arXiv.

The paper reports that BDH-CQ costs up to 11 times less to run than a leading OpenAI model. Because the study has been posted as a preprint rather than published in a peer-reviewed journal, and the cost comparison comes from Pathway's own paper, the claim has not yet been independently verified.

BDH-CQ builds on an earlier model called "Dragon Hatchling," which the same scientists created in 2025 to accurately simulate how neurons in the brain connect and strengthen during learning.

Terms explained

The story so far

  1. Tencent Releases Open-Source Hy4 Preview AI Model With 770 Billion Parameters
  2. New Open-Source AI Model NeoMME Reads Text and Images With One Shared Network
  3. New AI Model BDH-CQ Claims to Run 11 Times Cheaper Than a Leading OpenAI Model
#AI model#Pathway#efficient AI#arXiv
Rate this story

Related stories