GLM-4.5-MoE-355B-A32B-0715
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
| Modality | Input | Output |
|---|---|---|
| Text | $0.6 | $2.2 |
GLM-4.5 currently shows benchmark results led by MATH-500 (3 / 43, score 98.20), MMLU Pro (24 / 116, score 84.60), AIME 2024 (14 / 62, score 91). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
GLM-4.5-355B-A32B是智谱AI开源的MoE架构的大模型,总参数3550亿,每次推理激活320亿参数。
该模型是GLM 4.5系列中参数规模最大的一个模型。
GLM-4.5在官方公布的12项跨领域基准测试中,综合性能位列第三,展现了其作为第一梯队成员的强大实力。
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