Large Open-Weight MoEs Are Converging on Lower Expert Activation Ratios

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Ayush Pai on X: "Recent large open-weight MoEs are trending toward lower routed-expert activation ratios.

Across six of the largest open-weight MoEs released in each year, the average ratio falls from roughly 3.7% in 2025 to 2.1% in 2026.

2026:<br>Kimi K3: 16 / 896<br>DeepSeek V4 Pro: 6 / 384 https://t.co/7ezqR4txMW" / X<br>Post

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Ayush Pai

@ayushpai0

Recent large open-weight MoEs are trending toward lower routed-expert activation ratios.

Across six of the largest open-weight MoEs released in each year, the average ratio falls from roughly 3.7% in 2025 to 2.1% in 2026.

2026:<br>Kimi K3: 16 / 896<br>DeepSeek V4 Pro: 6 / 384<br>LongCat-2.0: 12 / 768<br>Kimi K2.7: 8 / 384<br>Inkling: 6 / 256<br>GLM-5.2: 8 / 256

2025:<br>Kimi K2 Thinking: 8 / 384<br>DeepSeek V3.2: 8 / 256<br>Qwen3-Coder-480B: 8 / 160<br>MiniMax M1: 2 / 32<br>Llama 4 Maverick: 1 / 128<br>GLM-4.6: 8 / 160

The trend: larger expert pools, relatively flat top-k, and potentially more specialized experts without proportional growth in per-token compute.

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