Hy4 preview
설명
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.
능력 레이더
전용 과학 벤치마크가 없을 때 Science는 LLM Stats 과학 점수 또는 추론 능력에서 추정합니다.
랭킹
| 도메인 | #순위 | 점수 | 소스 |
|---|---|---|---|
| 에이전트형 역량 | 25 | 54.0 | LS |
벤치마크 점수 (LLM Stats)
(LLM Stats (zeroeval))Agents
Biology
Chemistry
Code
General
Math
Reasoning
Search
AA 평가 지수
(Artificial Analysis)AA 평가 데이터가 없습니다
LLM Stats 카테고리 점수
(LLM Stats (zeroeval))가격
속도
속도 데이터가 없습니다
공급자 가격 순위
공급자 가격 순위
9개 공급자
이 모델의 다양한 API 공급자 간 가격 비교.