Zhipu AI launched GLM-5, an Opus-class model scaling from 355B to 744B parameters with DeepSeek Sparse Attention integration for cost-efficient long-context serving. GLM-5 achieves SOTA on BrowseComp and leads on Vending Bench 2, focusing on office productivity tasks and surpassing Kimi K2.5 on the GDPVal-AA benchmark.

Despite broad availability on platforms like OpenRouter, Modal, DeepInfra, and Ollama Cloud, GLM-5 faces compute constraints impacting rollout and pricing. The model supports up to 200K context length and 128K max output tokens.