Zhipu AI is a Chinese artificial intelligence company that develops and offers large language models. Its flagship model series is GLM, and GLM-5.3 was released most recently. Z.ai, which introduced the coding tool ZCode, is a service brand operated by Zhipu AI, not a separate company. In August 2026, Zhipu AI released the GLM-5.3 API, and it was reported that its Terminal-Bench score rose from 4.6 to 28.3.
Current rank (1M)
26
Rank over the last 30 days
2026.08.20 – 2026.09.18 · High 15 · Low 27 · Now 26
Specific released Real-SWE on September 12, a benchmark that measures AI coding models on private production codebases licensed from real companies. Fable 5.1 led with a 38.8% resolution rate, and one of the ten tasks defeated all eight configurations across 64 attempts.
When we connect two models, we've always had one write text for the other to read.
A single round of fine-tuning was enough to strip the safety guardrails off 21 open-weight models.
Tencent says the model beat GPT-5.6 on a coding evaluation and even helped optimize its own training and inference process
The anonymous model that topped usage charts for a week was Z.ai's new multimodal model. All of its traffic ran on Chinese-made AI chips.
Apple unveils Mac Studio with M5 Max/Ultra and Mac mini with M6/M5 Pro, targeting local large models through clustering
Since the high-cost coding model Fable arrived, developers are increasingly routing different tasks to different models depending on cost and job type
Community tokenizer comparison shows 60/60 match with zero average error — but that doesn't confirm it's the same model
DeepReinforce team releases three sizes from 397B down to 9B, built on a self-improvement loop that generates its own tasks, scaffolds, and solutions — all figures are self-reported
In IBM Research's tests across 8 models, DeepSeek preferred full guideline sets while gpt-oss performed better with compressed versions
Z.ai opens GLM-5.3 API at the same price as GLM-5.2, with sharp gains on coding and cybersecurity benchmarks
r/LocalLLaMA reviewer lauds speed, design-review skill, and self-correction, backed by 2.4 trillion parameters and a No. 1 agentic index ranking
