Tencent used the Davos stage to make a clear case for open source AI, showcasing how model-agnostic platforms and globally adopted open models like Hunyuan 3D are turning openness into real-world scale, choice and commercial impact.
At the World Economic Forum Annual Meeting in Davos 2026, Tencent positioned open-source ecosystems as the most practical path to unlocking real-world artificial intelligence value, arguing that choice, interoperability and openness matter more than closed, monolithic AI systems.
Dowson Tong, Senior Executive Vice-President of Tencent and CEO of Tencent Cloud and Smart Industries Group, said AI should not be viewed as a single AGI-style system but as multiple specialised models serving different purposes. He stressed that Tencent Cloud’s strategy is built around model-agnostic platforms that allow enterprises and developers to choose the most suitable models for their needs.
This approach underpins Tencent’s two-pronged AI strategy: continued investment in its proprietary Hunyuan large model series, combined with openness to global large-model ecosystems. A key example is Tencent’s open source Hunyuan 3D model, which has surpassed three million downloads on Hugging Face and emerged as one of the most widely adopted 3D open-source models worldwide.
Over the past year, Tencent has released more than 30 Hunyuan models across hybrid reasoning, image generation, video synthesis and 3D content creation. Its flagship Hunyuan 2.0 uses a Mixture-of-Experts architecture with 406 billion total parameters and 32 billion activated parameters, delivering high inference efficiency at scale.
Internally, Tencent uses AI as a production blueprint. Its CodeBuddy coding assistant supports over 12,000 engineers, generates more than half of all new code, and has reduced average coding time by over 40%. Hunyuan models now power more than 900 internal business scenarios, contributing to AI-driven revenue growth across marketing services and gaming.
Tencent is also extending open and accessible AI tools to education and consumer platforms, aiming to build early AI literacy and strengthen future open-source ecosystems.
