阿里通義千問團隊近日開源全新多模態MoE模型Qwen3.8-Flash-Next，作爲Qwen4架構早期預覽版。該模型採用高度稀疏的混合專家設計，總參數1250億，另搭配510億參數N-gram嵌入表和40億參數多token預測模塊，以極低計算開銷實現越級性能表現。
阿里千問發佈多模態MoE模型Qwen3.8-Flash，並開源下一代架構Qwen3.8-Flash-Next（Qwen4雛形）。模型總參數125B，搭載51B N-gram Embedding，每token僅激活6B；原生支持26萬token，可擴展至100萬。訓練成本爲前代1/9，API定價輸入每百萬Tokens 1元、輸出3元。
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