AI News (2026/3/16): GLM-5-Turbo: Lobster-Enhanced Base Model
Executive Summary:
ZhiPu has released the GLM-5-Turbo lobster-enhanced base model, specifically optimized for the OpenClaw Agent scenario. The model has significantly improved in key capabilities such as tool calling, instruction following, scheduled tasks, and long-chain execution, ranking first among domestic models in the ZClawBench evaluation.
[ZhiPu Launches GLM-5-Turbo: Lobster-Enhanced Base Model]
Detailed Information
ZhiPu released a new model named GLM-5-Turbo on March 16. This model is a deep optimization of the original GLM-5 base model, specifically enhanced for the OpenClaw Agent scenario. GLM-5-Turbo excels in key capabilities such as tool calling, instruction following, scheduled tasks, and long-chain execution. After evaluation using ZhiPu's proprietary ZClawBench, the model ranked first among domestic models. Major internet companies such as Alibaba, ByteDance, and Meituan have conducted internal testing of the model and praised it for being "accurate and stable, with no drop in performance during long tasks."
Key Points
Tool Calling: GLM-5-Turbo has been significantly optimized for tool calling, enabling more efficient interaction with external APIs and tools. It supports over 100 different tools and APIs.
Instruction Following: The model performs exceptionally well in instruction following, accurately understanding and executing complex multi-step instructions, with an error rate reduction of 30%.
Deployment and Cost: GLM-5-Turbo supports multiple deployment methods, including cloud services and local deployment. Its computational resource requirements have decreased by 20% compared to the previous generation, further reducing the cost for enterprises.
AI-ALL In-Depth Review
The GLM-5-Turbo lobster-enhanced base model launched by ZhiPu not only achieves significant improvements in technical parameters but also performs outstandingly in practical application scenarios. The optimization for the OpenClaw Agent scenario has raised the bar in tool calling and instruction following, marking an important breakthrough for AI applications that require high automation and precision. The positive internal test evaluations from major companies like Alibaba, ByteDance, and Meituan further validate its stability and reliability, which will help enhance the competitiveness of domestic AI models in the international market. Additionally, the multiple deployment options and lower computational resource requirements of GLM-5-Turbo Make it more flexible and cost-effective, potentially becoming a new choice for enterprise-level AI applications.
