Patronus AI
Open models cut filler from reasoning, but terser thinking is not cheaper
Newer releases from DeepSeek, GLM and Kimi use substantially less filler in their reasoning, according to a Patronus AI analysis of open models on coding tasks. The…
GlobeBench: No AI Model Solves Half of Text World Simulation Tasks
Patronus AI has released GlobeBench, a benchmark of 1,632 tasks that tests whether language models can act as text-based world simulators. According to the company…
Patronus AI Details In-House Post-Training Stack and First Results on Qwen3.8-27B
Patronus AI has published a writeup of the post-training stack it built in-house, along with first results from training the open-weight model Qwen3.8-27B. According to…