Terminal Bench 4.0 Released: GLM-5.3 Performs on Par with Fable 5

Terminal Bench 4.0 has been released, revealing that the GLM-5.3 model performs at the same level as Fable 5 within the margin of error. The update focuses on rapid iteration to combat benchmark saturation for AI coding agents. This release highlights the rapid progress of open-weight models like GLM-5.3 in handling complex terminal tasks. However, it also underscores the growing industry challenge of high token costs associated with running large-scale agent benchmarks. Terminal Bench evaluates AI models on complex, containerized terminal tasks such as shell commands, debugging, and multi-step CLI workflows. Running these comprehensive benchmarks can consume between 5 to 10 billion tokens, making them economically impractical for many independent developers.