GLM-5.1

GLM-5.1 is presented as a large open-weight model designed for agentic engineering. Its central design is a Mixture-of-Experts architecture: the supplied overview identifies 754 billion total parameters, with 40 billion active for each token. That pattern emphasizes substantial model capacity while activating a more selective portion during inference, making it relevant to teams evaluating complex software-engineering agents.

The available reporting positions GLM-5.1 for long-running engineering workflows and highlights strong results on SWE-Bench Pro, where it is described as achieving state-of-the-art performance. That combination suggests a practical focus on sustained autonomous problem solving rather than only short, single-turn generation. Because the supplied article text does not provide a verifiable training or benchmark record, these points should guide evaluation without treating the headline-level claims as independently validated here.