2 entries with this tag
On October 12, 2026, Z.ai (formerly Zhipu AI) released GLM-Legal, a legal-domain agentic model built on the lightweight GLM-5.3-Flash foundation (320B total, 18B active parameters). It scores 19.2% all-pass on Harvey LAB (ranking #7 of 79), 86.2 on LegalBench, and 77.3 on PLawBench — matching frontier closed-source models on mainstream legal benchmarks while running at $0.075/$0.25 per million tokens. The model demonstrates that specialized mid-training and post-training can close the gap between lean open-weight models and expensive frontier systems on high-stakes professional tasks.
Zhipu AI releases GLM-5.2 on June 16, 2026 — a 744B MoE model with solid 1M-token context, MIT license, and long-horizon coding capability that trails Claude Opus 4.8 by only 1% on FrontierSWE. Analyzes the IndexShare architecture, speculative decoding improvements, agentic RL training, and positions GLM-5.2 against the closed-weight frontier (Fable 5, Opus 4.8, GPT-5.5, Qwen3.7 Max).