# Moonshot AI Publishes Kimi K3.1 Pro Weights on Hugging Face By Simon Yoon Canonical URL: https://www.tokenpost.com/news/technology/49222 Published: 2026-11-05T11:04:21.000Z Updated: 2026-11-05T11:04:21.000Z Section: Technology > The release adds published weights for a model already available through Moonshot AI’s API. Kimi K3.1 Pro has 2.8 trillion total parameters and a context window of about 1 million tokens. Moonshot AI has published Kimi K3.1 Pro’s weights on Hugging Face, giving developers access to the model files for a system that was already available through its API. The API supports interfaces compatible with OpenAI and Anthropic. Developers can call the model by selecting kimi-k3.1-pro on platform.kimi.ai. Kimi K3.1 Pro is the first model in the K3.1 series and uses a mixture-of-experts architecture. It has 2.8 trillion total parameters, including 104 billion active parameters, and a context window of about 1 million tokens. The weights use MXFP4 quantization, while activations use MXFP8. Training used quantization-aware methods. Moonshot AI set Nov. 4 as the target for publishing the weights in its Oct. 23 launch announcement. The company’s [weight-release plan]() was part of that announcement. ## Links in this article - [weight-release plan](https://www.tokenpost.com/news/technology/39781)