Kimi K3 在 Agent Arena 排名第一并开源

Kimi.ai (@Kimi_Moonshot) 转发了 Arena.ai (@arena) 的帖子： Big update: Among open-weight models, Kimi K3 (Max) is #1 in the Agent Arena with +9.75% net-improvement, surpassing GLM-5.2 (Max) at +7.12%, and landed the #1 spot across 5 signals (see below). Kimi K3 (Max) is also now #1 in open-weight in the Frontend Code (1682 pts) and Text (1485 pts) Arenas. Agent Arena measures models on millions of real-world, long-horizon agentic tasks. Models get web search, filesystem, and terminal tools to complete complex workflows: writing code, creating slide decks, researching the web, building apps, and analyzing documents. We use causal tracing methodology to measure a model's net improvement, which indicates how much it improves outcomes relative to the average model. Congrats to the @Kimi_Moonshot team for their contribution to the open ecosystem.  > **引用原帖 Kimi.ai (@Kimi_Moonshot):** > Releasing the model weights and technical report of Kimi K3. > Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window. > New model architecture: 2.5x the intelligence per unit of compute, not just more params. > Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale. > Model weights: https://t.co/7m7eEg6Y0B > Tech report: https://t.co/yeu6cjpMCT > Tech blog: https://t.co/YTfiMSNM1f > https://x.com/Kimi_Moonshot/status/2081760186235289764