Moonshot AI launches Kimi K3, a 2.8-trillion-parameter model set for open-weight release on July 27
Moonshot AI has introduced Kimi K3, its latest flagship large language model, with 2.8 trillion parameters, a Mixture of Experts design, a native 1 million-token context window and built-in multimodal support across text, images and video. The company’s official X account said full model weights will be released on July 27, alongside four product endpoints: Kimi.com, Kimi Work, Kimi Code and the Kimi API platform. The article says Kimi K3 is among the world’s largest frontier models with open weights. It also outlines two named architectural changes, Kimi Delta Attention and Attention Residuals, which Moonshot says improve long-context decoding speed and training efficiency. The model uses 896 experts, activates 16 per inference step, and stores weights in MXFP4 format, putting total storage needs at roughly 1.4 TB. Beyond the model release, the report revisits Moonshot AI’s corporate backdrop. Bloomberg previously reported that the company’s annual recurring revenue had exceeded $200 million as of April 2026. Moonshot is now seeking to raise $2 billion at a $30 billion valuation and is restructuring for a Hong Kong IPO, according to the article. Benchmark data cited from ChainCatcher and Artificial Analysis places Kimi K3 ahead in coding and agent-style tasks, while still trailing Claude Fable 5 and GPT-5.6 Sol in general-purpose user experience.








