Kimi K3 is the largest open-weight model ever released. You still can't run it.

Moonshot dropped Kimi K3 open weights today. 2.8 trillion parameters, Modified MIT license. Genuinely impressive benchmarks, 91.2% on BrowseComp, best published agentic score at release. The 1M token context window actually works at speed due to a new attention architecture. But self-hosting requires 1.4TB storage and 18+ enterprise GPUs just to load the weights before serving a single request. We're talking Blackwell or MI400 territory. Nobody outside a hyperscaler or well-funded lab is running this locally. So in practice, almost everyone calling Kimi K3 "open" is just using the API. Which is a Chinese hosted endpoint with a better story than the others. Open weights mean you can read the model. They don't mean you control the inference layer or your data. That gap keeps getting glossed over every time a big open-weight drop happens and I think it matters more as these models get used for autonomous agent workflows. so..if anyone here is actually planning to self-host this or if everyone's defaulting to the API.