Hugging Face (Twitter)

RT @Zai_org: Introducing GLM-5: From Vibe Coding to Agentic Engineering

GLM-5 is built for complex systems engineering and long-horizon agentic tasks. Compared to GLM-4.5, it scales from 355B params (32B active) to 744B (40B active), with pre-training data growing from 23T to 28.5T tokens.

Try it now: chat.z.ai
Weights: huggingface.co/zai-org/GLM-5
Tech Blog: z.ai/blog/glm-5
OpenRouter (Previously Pony Alpha): openrouter.ai/z-ai/glm-5
Rolling out from Coding Plan Max users: z.ai/subscribe