A wave of powerful open-source AI models, including LongCat 2.0, Tencent's Hy3, and upcoming MiniMax, is challenging proprietary giants and making advanced AI capabilities accessible for local hosting.
MiniMax is readying its largest model: 2.7 trillion parameters, open source. A move that reshapes the US-China balance and raises crucial questions about the infrastructure needed to host models of this scale on-premise.
Tencent has open-sourced the Hy3 model: 295 billion total parameters, 21 billion active, mixture-of-experts architecture, and — crucially — an Apache 2.0 license. It replaces the former community license that prohibited use in South Korea, the UK, an...
The weights of longcat 2.0 (1.6 trillion total parameters, 48 billion active) are now available under the MIT license. A strong signal for teams evaluating on-premise LLM deployments, with implications for data sovereignty, customization, and TCO.
