About this model
GLM 5.3 Flash is Z.ai's efficiency-oriented entry in the GLM-5 line, arriving days after the flagship GLM 5.3 and positioned for coding agents, complex reasoning and production workloads that combine text with visual context. It succeeds earlier compact releases such as GLM 4.7 Flash in the Flash tier.
Architecturally it departs from its predecessors. Z.ai describes a 320-billion-parameter mixture-of-experts network that activates roughly 18 billion parameters per token, and the first model in the GLM series to combine sparse attention with linear attention — a hybrid the company says lowers long-context serving cost while preserving precise long-context behaviour. The catalog context window is 1,048,576 tokens, and reasoning effort is configurable in the API. Function calling and web search are supported.
On generational gains, Z.ai's own model card and launch post report that GLM 5.3 Flash improves on GLM 5.2 across its benchmark suite and real-world workloads at substantially lower serving cost. Its published tables list, as vendor-run results, 63.4 on DeepSWE v1.1 against 46.2 for GLM 5.2; harnesses and context limits differ per test, so these figures are self-reported.
Independently, Artificial Analysis measures the model at 57 on its Intelligence Index. Weights are published on Hugging Face, continuing Z.ai's open-release practice for the GLM family.
This About section is AI-generated from public sources (Claude Opus 5), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.
Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 1d ago