Unverified50% confidenceFactExact time
Beam's total parameter count is 501B, with 23B parameters activated per token (about 4.6% of the network is activated).
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
UnverifiedBeam adopts a Sparse Mixture-of-Experts (Sparse MoE) architecture with 52 layers, activating only 23 billion parameters at a time.65% similarUnverifiedMiniMax M3 每个 token 推理时约激活 23B 参数64% 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22B61% similarUnverifiedBERT的参数规模为3.4亿，GPT-3的参数规模为1750亿60% similarUnverified根据Artificial Analysis数据，Fable完成单个任务约用33k token，Opus 5约用37k token60% similar
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