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GLM-5.3-Flash is the first open-source, native multimodal model in the GLM-5 series. It employs a hybrid sparse and linear computation architecture with 320 billion total parameters—of which only 18 billion are active—significantly reducing computational load and cache usage. The model supports visual coding, enabling continuous optimization through the synergy of code and interface interactions; it can also autonomously decompose tasks and invoke tools to efficiently deliver high-quality professional outputs such as PPTX and PDF files.

GLM-5.3-Flash is the first open-source, native multimodal model in the GLM-5 series. It employs a hybrid sparse and linear computation architecture with 320 billion total parameters—of which only 18 billion are active—significantly reducing computational load and cache usage. The model supports visual coding, enabling continuous optimization through the synergy of code and interface interactions; it can also autonomously decompose tasks and invoke tools to efficiently deliver high-quality professional outputs such as PPTX and PDF files.

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智谱高性价比多模态模型，支持百万级上下文，擅长视觉编程、复杂任务与智能体协作。

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智谱 GLM-5.3-Flash 原生多模态旗舰，320B-A18B 稀疏+线性混合注意力，1M 上下文，定价为 GLM-5.3 的 1/10。

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文本模型，已验收基础对话；缓存读取以实际返回用量计费。

官转接口，稳定，速度快。充值综合倍率0.32-0.4x

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