Zhipu GLM-5.2 crowned as #1 in the open-source AA intelligent index: GDPval scores neck and neck with GPT-5.5

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Golden Finance reports that Zhipu AI's latest MoE flagship model GLM-5.2 scored 51 points in the Artificial Analysis Large Model Intelligence Index v4.1 evaluation, surpassing MiniMax-M3 (44 points), DeepSeek V4 Pro (max, 44 points), and Kimi K2.6 (43 points), topping the global open-source model leaderboard.
In the GDPval-AA v2 test simulating real-world knowledge work, GLM-5.2 scored 1524 points (human benchmark score of 1000), leading MiniMax-M3 (1418 points) and DeepSeek V4 Pro (max, 1328 points), and tying with the closed-source cutting-edge model GPT-5.5 (xhigh reasoning). Compared to the previous generation GLM-5.1, scientific reasoning CritPt improved by 16 percentage points to 21%, HLE increased by 12 percentage points to 40%, TerminalBench v2.1 rose by 16 percentage points to 78%, and GPQA Diamond reached 89%.
GLM-5.2 occupies the best cost-performance position on the "Intelligence - Task Cost" Pareto frontier. Since the average output per task is 43k tokens (compared to 26k for GLM-5.1), the average cost per task for GLM-5.2 has risen to about $0.46, higher than GLM-5.1 ($0.25) and DeepSeek V4 Pro (max, $0.05), but still far lower than other models in the same intelligence echelon.
GLM-5.2 has a total of 744 billion parameters, with 40 billion active parameters, and the context window has increased from 200K to 1 million compared to the previous generation, following the MIT open-source license. Currently, Zhipu's official API (pricing input 1.4, output 4.4 / per million tokens) is available on platforms such as SiliconFlow, DeepInfra, and Nebius AI.
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