Hy3 preview is a 295B-parameter Mixture-of-Experts (MoE) language model from Tencent Hunyuan, built for production-grade agent workloads. With only 21B parameters activated per token and native 256K context support, it handles complex tasks like cross-file code refactoring, long-document analysis, and multi-step tool use, rather than just generating fluent dialogue. Hy3 scores near state-of-the-art on SWE-bench Verified and advanced STEM benchmarks, while offering three inference modes (no_think, think_low, think_high) to dynamically trade off latency and reasoning depth. Its sparse activation architecture delivers competitive intelligence at a significantly lower token cost....

Hunyuan-A13B-Instruct仅激活其80 B参数中的13 B，但在主流基准测试中与更大的LLMs匹配。它提供混合推理：低延迟的“快速”模式或高精度的“慢速”模式，可以在每次调用时切换。本地256 K-token上下文让它能够处理书籍长度的文档而不退化。代理技能为BFCL-v3、τ-Bench和C3-Bench领导进行了调优，使其成为出色的自主助手骨干。分组查询注意力加上多格式量化提供记忆轻、GPU高效的推理，用于现实世界的部署，具有内置的多语言支持和企业级应用的强大安全对齐。...