Z.ai发布GLM-5.3-Flash，原生多模态MoE，上下文窗口更大，性价比高，值得尝试。
Z.ai推出GLM-5.3-Flash，GLM-5系列首个原生多模态模型，320B总参数/18B激活MoE，1,048,576令牌上下文窗口，MIT授权Hugging Face权重，API定价0.15美元/输入和0.50美元/输出。在Terminal-Bench 2.1上得分84.3，在DeepSWE v1.1上得分63.4，使用混合KDA线性加NoPE稀疏MLA注意力减少注意力计算约3倍，KV缓存4.4倍于GLM-5.3。
Z.ai Releases GLM-5.3-Flash: A 320B-A18B Natively Multimodal MoE With a 1M-Token Context
Z.ai has released GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series — a 320B-total / 18B-active MoE with a 1,048,576-token context window, MIT-licensed weights on Hugging Face, and API pricing at $0.15/M input and $0.50/M output. It scores 84.3 on Terminal-Bench 2.1 and 63.4 on DeepSWE v1.1, using hybrid KDA linear plus NoPE sparse MLA attention to cut attention compute ~3× and KV cache 4.4× versus GLM-5.3. The post Z.ai Releases GLM-5.3-Flash: A 320B-A18B Natively Multimodal MoE With a 1M-Token Context appeared first on MarkTechPost .