Expired60% confidenceFactExact time
Kimi K2.7 Code uses a MoE architecture with 384 experts, selecting 8 experts plus 1 shared expert per token, with actual computation approximately 2.3% of that of a dense model.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Kimi K2.7 Code Deep Dive: The Cost-Performance Battle of a Trillion-Parameter Coding Model
bilibiliAI睡前简报6/13/2026
Related Claims
VerifiedKimi K2.6 adopts a Mixture of Experts (MoE) architecture, with a total parameter count at the trillion level and only 32B parameters actually activated.74% similarUnverified在MoE模型中每个token只激活少量Expert（通常2-4个，Top-K路由），实际计算量可能仅相当于6-7B的Dense模型70% similarUnverifiedIn the Gemma 4 26B MOE model, the model contains 128 internal 'experts' but only 8 are activated per inference.67% similarUnverifiedKimi K2.7 Code has a total of 61 layers, including 1 dense layer.67% similar
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