Tuesday, October 27, 2026i10X News · Section desk7 stories
Studies
Efficiency & Training
Training methods, scaling, distillation, inference efficiency
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Kimi K3: A 2.8T Open MoE With 2.5× Better Scaling Than K2
Moonshot’s Kimi K3 activates 104B of 2.8T params, adds native vision and 1M context. KDA, Attention Residuals and Stable LatentMoE deliver ~2.5× scaling efficiency over Kimi K2.
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- MiniMax Sparse Attention: 14× Prefill Speedup at 1M Context Without Quality Loss
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