Core Insights - The release of GLM-5 has significantly boosted the market performance of Zhipu, with a market capitalization exceeding HKD 200 billion after a more than 20% increase over two consecutive trading days [1] - GLM-5 features an expanded parameter scale from 355 billion to 744 billion, with enhanced capabilities in complex system engineering and long-range agent tasks [1][2] - The model has achieved a level of performance comparable to Claude Opus 4.5 in real programming environments, indicating that open-source models are catching up to closed-source ones [2] Model Capabilities - GLM-5 can autonomously perform complex tasks such as long-range planning and execution with minimal human intervention [1] - The model has implemented a training paradigm innovation through the "slime" asynchronous reinforcement learning infrastructure, significantly increasing training volume and enabling high-frequency, fine-grained iterations [2] - GLM-5 has achieved state-of-the-art (SOTA) performance in multiple evaluation benchmarks, including BrowseComp and MCP-Atlas [2] Pricing Adjustments - Zhipu has announced a structural adjustment to the GLM Coding Plan pricing, with an overall increase starting from 30%, effective February 12, 2026 [3] - The new pricing structure includes the cancellation of first-purchase discounts while retaining seasonal and annual subscription discounts [3] - Post-adjustment, the input price for GLM-5 will be up to CNY 6 per million tokens, and the output price will be up to CNY 22 per million tokens [3] Business Strategy - Zhipu aims to increase the proportion of API business revenue to 50%, with GLM-5's capabilities expected to accelerate growth in this area [4] - The company is transitioning from a focus on localized deployment to becoming a MaaS (Model as a Service) provider, anticipating a rise in both volume and pricing for API services [5] Competitive Landscape - Zhipu operates independently of major tech companies, which are generally perceived to have inherent advantages in AI due to their financial resources [6] - The company has managed to maintain lower operational costs by renting computing power rather than purchasing it outright, contrasting with the significant investments made by larger firms [6][7] - Zhipu's strategic partnership with Parallel Technology provides substantial computational support, crucial for the development and deployment of the GLM series [7]
智谱冲击AI的“大厂信仰”