Core Insights - The article discusses the recent launch of the GLM-5 model by Zhipu, which has received positive market feedback, with a stock price increase of 28.68% on its first trading day [4] - The GLM-5 model features significant updates, including an increase in pre-training data from 23 trillion to 28.5 trillion and the introduction of a new "Slime" framework to support larger model scales and complex reinforcement learning tasks [4][5] - The article highlights the evolving consensus in the industry regarding large models, indicating a shift from basic coding to more complex engineering tasks [5] Company Developments - Zhipu's GLM-5 model has achieved state-of-the-art (SOTA) performance in coding and agent capabilities, closely matching the performance of Claude Opus 4.5 in real programming scenarios [5] - The model's agent capabilities enable various applications, including end-to-end application development and general agent assistance, showcasing its versatility [5] - Other models released around the same time include Step 3.5 Flash by Jieyue Xingchen, Qwen3-Coder-Next by Alibaba, and MiniMax-M2.5, indicating a competitive landscape in AI model development [6] Industry Trends - The updates from multiple model manufacturers reflect a focus on inference efficiency, long context, multimodality, and cost reduction [6] - Technologies such as the MoE architecture and FP8 precision are being implemented, significantly lowering the cost of model calls from "yuan" to "fen" and "li" [6] - DeepSeek's recent updates have increased context length support to a maximum of 1 million tokens, a significant improvement from the previous version's 128,000 tokens [6]
GLM-5引爆行情！智谱大涨28%