GLM-5 Lands on Atlas Cloud: Access Z.AI’s 744B MoE Model for Coding & Reasoning
Blog post from Atlas Cloud
Atlas Cloud is integrating the advanced GLM-5 model, developed by ZHIPU AI, to enhance the capabilities of Generative AI. GLM-5 offers significant improvements over its predecessor GLM-4, featuring a 744 billion parameter Mixture-of-Experts architecture and innovative "Slime" post-training technology, which enhance complex reasoning, coding, and agentic tasks. Designed for high-difficulty challenges, it excels in system engineering, autonomous workflows, and logical problem-solving, while being cost-effective at $0.95 per 3.15 million tokens. It demonstrates superior performance compared to other models like Claude Opus 4.5, and Gemini 3 Pro, especially in tasks requiring extensive reasoning steps and real-time global sentiment analysis. Through Atlas Cloud's API, GLM-5 provides enterprise-grade inference speeds, allowing seamless integration into existing workflows for tasks like legacy code refactoring and expert-level research analysis, while also enabling high-concurrency processing of multi-lingual documents.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 2 | 4,545 | 963 | 231 | +27% |
| AI Coding Assistant | 1 | 1,255 | 319 | 126 | +24% |
| LLM | 1 | 6,078 | 960 | 218 | +18% |
| Real-time | 1 | 6,457 | 1,307 | 242 | +28% |
| Reinforcement learning | 1 | 121 | 52 | 29 | -1% |