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。
DeepSeek團隊推出Engram模塊，爲稀疏大語言模型引入“條件記憶軸”，旨在解決傳統Transformer處理重複知識時計算資源浪費的問題。該模塊作爲混合專家模型的補充，將N-gram嵌入技術融入模型，提升處理重複模式的效率。
Alibaba
$2
輸入tokens/百萬
-
輸出tokens/百萬
上下文長度
Tencent
$0.7
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