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Z AI's GLM-5.2 has claimed the top spot among open-weights models on the Artificial Analysis Intelligence Index, scoring 51 and surpassing rivals like MiniMax-M3 and DeepSeek V4 Pro, according to Hacker News. The model, which shares the same architecture as GLM-5.1 with 744 billion total parameters and 40 billion active parameters, improved by 11 points over its predecessor. "GLM-5.2 becomes top open weights AI model on Intelligence Index with score of 51" This leap in performance underscores Z AI's focus on advancing scientific reasoning and other evaluation benchmarks, as reported by eicker.news. The model is available through Z AI's first-party API and third-party providers, maintaining similar pricing to GLM-5.1 at $1.4 per 1 million input tokens, $4.4 per 1 million output tokens, and $0.26 per 1 million cache hit tokens, according to Hacker News. "The model shows notable improvements in scientific reasoning and other evaluations" With a score of 51, GLM-5.2 outperforms competitors MiniMax-M3 and DeepSeek V4 Pro, both of which scored 44, as noted by both outlets. This positions Z AI as a strong contender in the open-weights AI space, offering a powerful model at competitive pricing.

This paper introduces Turing-RL, a novel reinforcement learning approach for training user simulator models that can mimic human users in interactive settings. Unlike existing methods that train LLMs to match a single ground truth response using log probability or similarity rewa
A newly revealed Department of Homeland Security document (a Privacy Threshold Analysis) outlines plans to provide local police working on behalf of federal immigration authorities with the same facial recognition technology currently used by ICE agents. This move would significa




searchenginejournal.com1h ago





dementiaresearcher.nihr.ac.uk1h ago