GLM-5.3 (Runware)

Z.ai released GLM-5.3 on 14 August 2026 as a post-training-only upgrade built on the unchanged GLM-5.2 base, with all reported gains attributed to post-training. The model carries a 1,000,000-token context window and a 128,000-token output limit, and is positioned around long-horizon coding and cybersecurity work, incl For developers integrating GLM-5.3, the article flags a behavior change that affects migration: the model exposes three effort levels (low, high, and max, with max as the default) and no longer supports a thinking type of disabled, so requests that previously disabled thinking will fail rather than fall back to a non-t

Qubrid AI's launch-partner technical brief confirms that GLM-5.3 was released by Z.ai on August 14, 2026 with the same 743B base model as GLM-5.2, with every gain attributable to scaled post-training. The post explicitly names GLM-5.3 and lists its headline benchmark deltas: Terminal-Bench 3.0 from 4.6 to 28.3, DeepSWE The brief documents the developer-facing API surface for GLM-5.3, including reasoning effort levels (low, high, max with max as default and no option to disable thinking), and notes that Z.ai is withholding open weights for roughly two weeks after launch pending safety evaluation and hardening (per Silicon Republic). T

An independent engineering review on webscraping.space analyzes GLM-5.3, released August 14, 2026 by Zhipu AI, emphasizing that the model reuses the same 743B-parameter Mixture-of-Experts base as GLM-5.2 with all reported improvements coming from scaled post-training rather than a new architecture or larger parameter c The piece also discusses the delayed open-weights release, which Z.ai staged behind a safety review window rather than publishing immediately as in earlier 5.x releases, framing that choice as a governance question for the open-source community. It adds practitioner perspective on self-hosting cost and the production i

GLM-5.3 is Z.ai's post-training-only release on the same 743B-parameter base as GLM-5.2, announced on August 14, 2026. According to Z.ai's documentation and launch blog cited in the article, every capability gain comes from scaled post-training — there is no new base model, no architecture change, and no parameter incr The model ships as text-only, always-on reasoning, with a 1M-token context, a 128K max output, and three effort levels (low, high, max, default max) — disabling thinking is no longer supported. Z.ai has delayed the open-weights release by roughly two weeks pending safety evaluation and hardening. The InferenceX write-u

BenchLM.ai, a third-party benchmark aggregator, tracks GLM-5.3 as released on August 14, 2026 by Z.AI with a 1M-token context window and open weights. The page assigns GLM-5.3 a composite capability score of 68.5/100, ranking it 27th of 232 models, with its strongest eligible category being Agentic (8th of 151) and a C The dashboard surfaces 25 source-displayable benchmark rows out of 417 tracked benchmarks and notes that several categories (Reasoning, Math, Multilingual, Multimodal, Instruction Following) are not currently rank-eligible for GLM-5.3. Capability percentiles reported include 95th in Agentic, 91st in Coding, and 84th in