Hy4 preview
描述
Hy4 preview is a new-generation Mixture-of-Experts (MoE) flagship model from the Tencent Hy Team (released 2026-08-28). It has 770B total parameters with 49B activated per token, plus a native MTP layer (10B total / 0.7B activated) for speculative decoding. The backbone uses 78 layers (first dense FFN, then 77 MoE layers with 256 routed experts + 1 shared expert, top-8 routing), Gated DeepSeek Sparse Attention with IndexCache, and identity Hyper-Connections, with a 1,048,576-token context window. It is text-in / text-out, Apache 2.0 licensed, and a hybrid-thinking model defaulting to high reasoning effort (also supports no_think). Training targets productivity workloads — software engineering, office/analysis, game development, and scientific research — and is co-designed with Tencent products such as CodeBuddy and WorkBuddy. As an early preview, known limitations include longer-than-necessary reasoning on complex tasks and a tendency to over-verify its own work.
能力雷达图
缺少专门科学评测时,Science 由 LLM Stats 科学得分或推理能力估算。
排行榜排名
| 领域 | #排名 | 分数 | 来源 |
|---|---|---|---|
| 智能体能力模型榜 | 68 | 46.0 | LS |
基准测试分数 (LLM Stats)
(LLM Stats (zeroeval))Agents
Biology
Chemistry
Code
General
Math
Reasoning
Search
AA 评测指数
(Artificial Analysis)暂无 AA 评测数据
LLM Stats 分类评分
(LLM Stats (zeroeval))定价
速度
暂无速度数据
供应商价格排行
供应商价格排行
18 个供应商
比较该模型在不同 API 供应商之间的定价。