Zhipu Releases Large Language Model Optimized for Lobster, API Prices Increased by 20% Simultaneously

SadMoneyMeow · 2026-03-16T09:27:51+00:00

Zhipu has released GLM-5-Turbo, a general-purpose large language model optimized for lobster scenarios, and increased API pricing by 20%. Evaluations show that GLM-5-Turbo outperforms other mainstream models on multiple key tasks, with particular enhancements in external tool invocation and complex instruction handling.

SadMoneyMeow

2026-03-16 09:27:51

Abstract generation in progress

Phoenix Technology News, March 16 — Zhipu released its first general large model, GLM-5-Turbo, specifically optimized for lobster scene deep learning. At the same time, the API price for GLM-5-Turbo was increased by 20%. According to the end-to-end lobster evaluation benchmark ZClawBench, GLM-5-Turbo significantly outperforms GLM-5 in the OpenClaw scenario, leading in multiple key tasks compared to several mainstream models.

It is reported that GLM-5-Turbo has enhanced capabilities for external tool and skill invocation, as well as complex instruction decomposition. It has been specially optimized for scenarios involving timed triggers and long-duration operations, enabling better understanding of temporal requirements.

(Edited by: Liu Jing HZ010)

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