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Hy4 preview

Tencent開源權重Apache 2.0 · 商用許可

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.

發布日期
2026-08-28
參數規模
770.0B
上下文長度
1.0M
支援模態
text

能力雷達圖

57
general
60
coding
40
reasoning
68
science估算
60
agents
0
multimodal

缺少專門科學評測時,Science 由 LLM Stats 科學得分或推理能力估算。

排行榜排名

領域#排名分數來源
智慧體能力模型榜25
54.0
LS

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Biology

BioMysteryBench71.3%自報

Chemistry

SuperChem66.4%自報

Code

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

General

GDPval-AA1678.00 / 3000自報

Math

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

Reasoning

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

Search

WideSearch83.9%自報

AA 評測指數

(Artificial Analysis)

暫無 AA 評測資料

LLM Stats 分類評分

(LLM Stats (zeroeval))
Legal
100
Finance
100
Agents
84
Reasoning
71
General
57
Physics
90
Safety
80
Search
80
Biology
80
Chemistry
80
Long Context
70
Science
70
Knowledge
70
Productivity
60
Code
60
Tool Calling
60
Math
40
Systems
40

定價

輸入價格$0.834 / 1M tokens
輸出價格$2.501 / 1M tokens
混合價格(3:1)$1.25075 / 1M tokens
快取讀取價格$0.042 / 1M tokens

速度

暫無速度資料

供應商價格排行

供應商價格排行

9 個供應商

最便宜: Tencent最貴: CrossModel
供應商輸入輸出
1Tencent主要
$0.834
$2.501
2NanoGPT
$0.834
$2.501
3OpenRouter
$0.834
$2.501
4OpenCode Go
$0.834
$2.501
5Kilo Gateway
$0.834
$2.501
6Vercel AI Gateway
$0.834
$2.501
7Tencent TokenHub
$0.834
$2.501
8Tencent Token Plan
$0.834
$2.501
9CrossModel
$0.96
$2.88

比較該模型在不同 API 供應商之間的定價。

外部連結