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Hy4 preview

Tencent오픈 웨이트Apache 2.0 · 상업적 사용 가능

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.

출시일
2026-08-28
파라미터
770.0B
컨텍스트 길이
1.0M
모달리티
text

능력 레이더

53
general
60
coding
40
reasoning
68
science추정
60
agents
0
multimodal

전용 과학 벤치마크가 없을 때 Science는 LLM Stats 과학 점수 또는 추론 능력에서 추정합니다.

랭킹

도메인#순위점수소스
에이전트형 역량68
46.0
LS

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Agents

BankerToolBench78.6%자체 보고
DRACO77.2%자체 보고
Toolathlon74.1%자체 보고
OfficeQA Pro66.2%자체 보고
OneMillion Bench65.4%자체 보고
Job Bench61.7%자체 보고
Workspace Bench60.2%자체 보고
PostTrainBench35.6%자체 보고
AutomationBench32.1%자체 보고
Agents' Last Exam22.8%자체 보고
Program Bench17.5%자체 보고

Biology

BioMysteryBench71.3%자체 보고

Chemistry

SuperChem66.4%자체 보고

Code

CyberGym78.4%자체 보고
DeepSWE64.3%자체 보고
SkillsBench62.9%자체 보고
NL2Repo58.9%자체 보고
SWE-Marathon31.9%자체 보고

General

GDPval-AA1678.00 / 3000자체 보고

Math

MathArena Apex74.2%자체 보고
ArXivMath66.6%자체 보고
HorizonMath8.8%자체 보고

Reasoning

GPQANYU + Cohere + Anthropic (2023)92.3%자체 보고
Terminal-Bench 2.185.4%자체 보고
MCP Atlas83.7%자체 보고
SWE-bench Multilingual82.9%자체 보고
SWE-Bench ProPrinceton NLP (2024)65.7%자체 보고
Humanity's Last Exam (with tools, text-only)55.4%자체 보고
Humanity's Last Exam (no tools, text-only)43.4%자체 보고
APEX-Agents37.1%자체 보고
CritPT16.9%자체 보고

Search

WideSearch83.9%자체 보고

AA 평가 지수

(Artificial Analysis)

AA 평가 데이터가 없습니다

LLM Stats 카테고리 점수

(LLM Stats (zeroeval))
Legal
100
Finance
100
Agents
77
Reasoning
68
General
53
Physics
90
Safety
80
Search
80
Biology
80
Chemistry
80
Knowledge
70
Long Context
70
Science
70
Productivity
60
Code
60
Tool Calling
60
Math
40
Systems
40

가격

입력 가격$0.7506 / 1M 토큰
출력 가격$2.2509 / 1M 토큰
혼합 가격 (3:1)$1.12568 / 1M 토큰
캐시 읽기 가격$0.0378 / 1M 토큰

속도

속도 데이터가 없습니다

공급자 가격 순위

공급자 가격 순위

18개 공급자

최저가: Vancine최고가: Venice AI
공급자입력출력
1Vancine최저가
$0.67
$2
2Tencent주요
$0.7506
$2.2509
3NanoGPT
$0.7506
$2.2509
4OpenRouter
$0.7506
$2.2509
5Kilo Gateway
$0.7506
$2.2509
6OpenCode Go
$0.834
$2.501
7Novita AI
$0.834
$2.501
8Vercel AI Gateway
$0.834
$2.501
9DevPass (LLM Gateway)
$0.834
$2.501
10Tencent TokenHub
$0.834
$2.501
11Tencent Token Plan
$0.834
$2.501
12Eden AI
$0.834
$2.501
13LLM Gateway
$0.834
$2.501
14CommandCode
$0.834
$2.501
15AIHubMix
$0.845
$2.535
16AI/ML API
$0.88237
$2.64606
17CrossModel
$0.96
$2.88
18Venice AI
$1.0425
$3.12625

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