Comparing GLM-5.3 Flash and DeepSeek V4 Flash on Apple Silicon Hardware
A user on r/LocalLLaMA is seeking real-world feedback comparing GLM-5.3 Flash and DeepSeek V4 Flash after antirez's `ds4` local inference engine added support for GLM-5.3 Flash. The user wants to know if benchmark gains translate into noticeable daily improvements on high-end hardware like the M3 Ultra Mac Studio. As local LLM inference engines like `ds4` expand model support, users often wonder whether synthetic benchmark gains reflect actual usability. Real-world comparisons help developers and AI enthusiasts optimize model selection for specific workflows and memory constraints on Apple Silicon. The comparison focuses on running models locally via `ds4`, a pure-C inference engine optimized for Apple Silicon, on a high-spec Mac Studio with 256GB unified memory. GLM-5.3 Flash is designed as a native multimodal model targeting efficient coding and long-horizon agentic tasks.
## BACKGROUND
Salvatore Sanfilippo (antirez), the creator of Redis, built `ds4` as a lightweight C-based engine for running large open-weight models locally on Apple Silicon. GLM-5.3 Flash is an open multimodal model developed by Z.ai (Zhipu AI), while DeepSeek V4 Flash is a widely used Mixture-of-Experts (MoE) model tailored for fast local inference.