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Preprint2026

Kimi K3: Open Frontier Intelligence

Kimi Team, Tongtong Bai, Yifan Bai, Yiping Bao et al. · arXiv · 2026

Abstract

Moonshot's technical report on Kimi K3, an open-weight mixture-of-experts model with 2.8 trillion total parameters but only 104 billion active per token, a million-token context, and vision built in rather than bolted on. The report covers the attention and routing changes behind roughly 2.5x better scaling efficiency than its predecessor, the reinforcement-learning recipe used for agentic and coding behaviour, and the infrastructure a model this size demands.

Why it matters

The clearest current look at how an open-weight lab builds a frontier-scale model — sparsity, long context, and agentic RL documented in one place. Read it when you want the engineering behind the leaderboard numbers rather than the numbers themselves.

mixture of expertsopen weightslong contexttraining
Read the source

https://arxiv.org/abs/2607.24653