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Hy4 preview

Tencent开源权重Apache 2.0 · 商用许可

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.

发布日期
2026-08-28
参数规模
770.0B
上下文长度
1.0M
支持模态
text

能力雷达图

53
general
60
coding
40
reasoning
68
science估算
60
agents
0
multimodal

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

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

Biology

BioMysteryBench71.3%自报

Chemistry

SuperChem66.4%自报

Code

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

General

GDPval-AA1678.00 / 3000自报

Math

MathArena Apex74.2%自报
ArXivMath66.6%自报
HorizonMath8.8%自报

Reasoning

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

Search

WideSearch83.9%自报

AA 评测指数

(Artificial Analysis)

暂无 AA 评测数据

LLM Stats 分类评分

(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

定价

输入价格$0.7506 / 1M tokens
输出价格$2.2509 / 1M tokens
混合价格(3:1)$1.12568 / 1M tokens
缓存读取价格$0.0378 / 1M tokens

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

最便宜: Vancine最贵: Venice AI
供应商输入输出
1Vancine最便宜
$0.67
$2
2Tencent主要
$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

比较该模型在不同 API 供应商之间的定价。

外部链接