MoE Architecture Explained: How Total vs Active Parameters Affect Cost
大模型之路 · wechat · 2026-08-14
The article explains MoE (Mixture of Experts) architecture: a router assigns tokens to a few experts, separating total parameters from active parameters. Examples: Qwen3.8 (2.4T total, 95B active), DeepSeek V4 Pro (1.6T total, 49B active), Kimi K3 (2.8T total). MoE decouples capability and cost but has pitfalls: load balancing, quantization difficulty, deployment complexity. It clarifies MoE saves compute not memory, and gives engineering advice.
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