Unverified50% confidenceFactExact time
Beam adopts a Sparse Mixture-of-Experts (Sparse MoE) architecture with 52 layers, activating only 23 billion parameters at a time.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
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Related Claims
UnverifiedMoE architecture models activate only approximately 3–4 billion parameters per step, which allows them to achieve higher speeds while maintaining high-quality output.70% similarUnverifiedOrnith 1.5 35B-A3B uses a MoE architecture with a total parameter count of approximately 35B, activating only approximately 3B parameters per inference.66% similarUnverified千问3.6的35B MOE模型每次只激活其中3B的参数66% similarVerifiedKimi K2.6 adopts a Mixture of Experts (MoE) architecture, with a total parameter count at the trillion level and only 32B parameters actually activated.64% similarUnverifiedMeituan has officially open-sourced the trillion-parameter model LongCat 2.0, with a total parameter count of 1.6T, adopting a MoE architecture with an average of approximately 48B activated parameters62% similar
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