Zhipu AI's GLM-5.2 Leads Open-Source Models in the AA Intelligence Index

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ME AI News: According to monitoring by Beating, Zhipu AI’s latest MoE flagship model, GLM-5.2, has scored 51 points on the Artificial Analysis Large Model Intelligence Index v4.1, surpassing MiniMax-M3 (44 points), DeepSeek V4 Pro (max, 44 points), and Kimi K2.6 (43 points) to rank as the top open-source model globally. In the GDPval-AA v2 test simulating real-world knowledge work, GLM-5.2 achieved 1,524 points (human baseline: 1,000 points), outperforming MiniMax-M3 (1,418 points) and DeepSeek V4 Pro (max, 1,328 points), and matching the closed-source frontier model GPT-5.5 (xhigh reasoning). Compared to its predecessor GLM-5.1, GLM-5.2 improved scientific reasoning CritPt by 16 percentage points to 21%, HLE by 12 percentage points to 40%, TerminalBench v2.1 by 16 percentage points to 78%, and reached 89% on GPQA Diamond. GLM-5.2 occupies the optimal position on the “intelligence–task cost” Pareto frontier. Due to an average output of 43k tokens per task (GLM-5.1: 26k), the average cost per task has risen to approximately $0.46, higher than GLM-5.1 ($0.25) and DeepSeek V4 Pro (max, $0.05), yet still significantly lower than closed-source models in the same intelligence tier. GLM-5.2 has a total of 744B parameters and 40B activated parameters, with its context window expanded from 200K to 1M, and is open-sourced under the MIT license. Currently, Zhipu’s official API (pricing: $1.4 input, $4.4 output per million tokens) and platforms including SiliconFlow, DeepInfra, and Nebius AI have launched services. (Source: BlockBeats)
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