#long-horizon

Hacker News picked up Z.ai's GLM-5.1 as a model aimed less at one-shot wins and more at sustained agentic work. Z.ai reports 58.4 on SWE-Bench Pro, 42.7 on NL2Repo, 66.5 on Terminal Bench 2.0, and long-horizon runs that keep improving through hundreds of iterations and thousands of tool calls.

A popular `r/LocalLLaMA` post highlighted YC-Bench, an evaluation where models run a simulated startup for a year under delayed feedback and adversarial clients. The benchmark's standout result is that only three of twelve tested models consistently beat the starting capital, with GLM-5 coming close to Claude Opus 4.6 at far lower cost.