Unverified50% confidenceFactExact time
MAI Thinking-E总参数量约为1T(万亿),激活参数约35B,采用MoE(混合专家)架构
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026
Sources
微软Build 2026:自研推理模型MAI Thinking-E及AI全家桶深度解析
bilibiliinfinite灵感港6/3/2026
Related Claims
UnverifiedHy3采用混合专家(MoE)架构,总参数量达2950亿(295B),每次推理仅激活210亿(21B)参数73% similarVerifiedQwen3-235B总参数量为2350亿,采用MoE架构,每次前向推理实际激活的参数量约22B72% similarUnverified千问三235B MoE总参数量2350亿,但每次推理实际激活的参数约22B70% similarUnverified通义零码(Qwen Coder)采用专家混合架构(MoE),拥有4800亿总参数,推理时仅激活350亿参数70% similarVerifiedGemma 4的26B MOE模型采用混合专家架构,拥有260亿总参数但任意时刻仅约40亿参数处于激活状态69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/46129API
curl https://kongchang.com/api/v1/knowledge/claims/46129MCP
get_claim(id=46129)