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 | 7,403 | 1,426 | 278 | +69% |
| AI Coding Assistant | 1 | 1,565 | 481 | 159 | +31% |
| LLM | 1 | 7,531 | 1,250 | 268 | +26% |
| Real-time | 1 | 13,979 | 3,441 | 296 | +113% |
| Reinforcement learning | 1 | 182 | 75 | 43 | +34% |
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