3 articles
Browse 3 articles, tool introductions and practical notes about Open-Weight Models, ordered by publication date.
Kimi K3's full weights and 47-page technical report are out. We unpack its 2.8T MoE, 104B active parameters, 1M context, agent RL, deployment demands, and license limits.
Kimi K3 launches with 2.8 trillion parameters, native multimodality, a 1M-token context window, and API pricing well below GPT-5.6 Sol and Claude Fable 5. Here is what matters.
DeepSeek is reportedly seeking up to $7.35B while planning new revenue efforts. The real shift is not funding itself, but the move from open-weight momentum to commercial pressure.