Model card
Hy3 is a high-capacity Mixture-of-Experts (MoE) model from Tencent, engineered specifically for complex reasoning and autonomous agentic workflows. With a total parameter count of 295B and a highly granular architecture featuring 192 experts, it utilizes top-8 routing to maintain efficiency while delivering deep cognitive capabilities. Unlike dense models that struggle with scaling costs, Hy3’s 21B active parameter design allows for sophisticated multi-step logic and tool-use integration without the typical latency overhead. For developers, the standout feature is the configurable reasoning effort, which lets you tune the model's computational intensity based on the task complexity—ranging from rapid text generation to deep, iterative problem-solving. This makes it a versatile backbone for production-grade RAG pipelines, automated coding assistants, and long-context agentic loops. It is optimized for stability in real-world deployment scenarios where predictable reasoning depth is critical.
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