88Z AI, 27 August — Zhipu has released GLM-5.3-Flash, the first native multimodal model in the GLM-5 series. It matches the intelligence level of Claude Opus 4.8 at a fraction of the cost. The model uses a hybrid architecture to significantly reduce long-context processing overhead and natively supports vision, code, and GUI collaboration.
At a glance
- Matches Claude Opus 4.8 with an AA score of 57 at 1/40th the price
- Uses sparse-linear hybrid architecture with native vision and GUI support
The update
Zhipu has officially launched GLM-5.3-Flash, the first native multimodal model in the GLM-5 series. In terms of performance, it achieves an AA comprehensive intelligence score of 57, matching Claude Opus 4.8, while being priced at only one-fortieth of the latter, offering significant cost-effectiveness. Technically, the model adopts a hybrid architecture combining sparse and linear attention mechanisms. This innovation nearly halves the activated parameters and network layers, substantially reducing the cost of long-context processing. Furthermore, GLM-5.3-Flash natively integrates visual encoding capabilities, seamlessly supporting code generation, browser operations, and graphical user interface collaboration, providing an efficient solution for complex multimodal tasks.
Sources & editorial note
This article is an AI-assisted synthesis by 88Z AI based on the public sources below. Product claims and availability are attributed to their publishers. It does not represent independent testing or first-hand reporting.
- 智谱Source published
Source dates above refer to the original announcements; the date under the headline is this article’s publication on 88Z AI.