Z.ai GLM-5: New SOTA Open Weights LLM

**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**.