Particle.news
Download on the App Store

Moonshot’s Kimi K3 Overwhelms Servers and Triggers Market and Policy Scrutiny

Near‑frontier performance, low per‑token pricing, a planned public release of weights raise scaling and security questions that may reshape who can run top AI systems.

Overview

  • Moonshot launched Kimi K3 on July 17 and paused new subscriptions within 48 hours after user demand pushed its GPU clusters to capacity to protect existing customers.
  • Kimi K3 is a 2.8 trillion‑parameter mixture‑of‑experts model that activates 16 of 896 experts per token and supports a 1,048,576‑token context window, and Moonshot has pledged to publish the full weights on July 27.
  • Moonshot published API pricing of about $3 per million input tokens and $15 per million output tokens with cached‑input discounts, positioning K3 as cheaper per token than some Western frontier models but not automatically cheaper per completed task.
  • Independent evaluators place K3 near top Western models on coding and long‑horizon benchmarks while also flagging much longer runtimes and higher end‑to‑end cost for some workloads.
  • The launch has pushed Moonshot toward a large pre‑IPO fundraising push with reported $30–50 billion target valuations, rattled chip and AI stocks, and drawn U.S. accusations of improper use of American models and restricted chips that could prompt export‑control or listing actions.