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Hy4 preview

Tencentओपन वेटApache 2.0 · व्यावसायिक उपयोग

विवरण

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.

रिलीज़ तिथि
2026-08-28
पैरामीटर
770.0B
संदर्भ लंबाई
1.0M
मोडैलिटीज़
text

क्षमता रडार

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

समर्पित विज्ञान बेंचमार्क उपलब्ध न होने पर Science का अनुमान LLM Stats विज्ञान स्कोर या तर्क से लगाया जाता है।

रैंकिंग

डोमेन#रैंकस्कोरस्रोत
एजेंटिक क्षमता68
46.0
LS

बेंचमार्क स्कोर (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Biology

BioMysteryBench71.3%स्वयं

Chemistry

SuperChem66.4%स्वयं

Code

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

General

GDPval-AA1678.00 / 3000स्वयं

Math

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

Reasoning

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

Search

WideSearch83.9%स्वयं

AA मूल्यांकन सूचकांक

(Artificial Analysis)

कोई AA मूल्यांकन डेटा उपलब्ध नहीं

LLM Stats श्रेणी स्कोर

(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

मूल्य निर्धारण

इनपुट मूल्य$0.7506 / 1M टोकन
आउटपुट मूल्य$2.2509 / 1M टोकन
मिश्रित मूल्य (3:1)$1.12568 / 1M टोकन
कैश पठन मूल्य$0.0378 / 1M टोकन

गति

कोई गति डेटा उपलब्ध नहीं

प्रदाता मूल्य रैंकिंग

प्रदाता मूल्य रैंकिंग

18 प्रदाता

सबसे सस्ता: Vancineसबसे महंगा: Venice AI
प्रदाताइनपुटआउटपुट
1Vancineसबसे सस्ता
$0.67
$2
2Tencentप्राथमिक
$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

इस मॉडल के लिए विभिन्न API प्रदाताओं के मूल्य निर्धारण की तुलना करें।

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