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Hy4 preview

Tencent

Hy4 preview is Tencent Hy Team's new-generation MoE flagship with 770B total and 49B activated parameters, released under Apache 2.0. It pairs Gated DeepSeek Sparse Attention with IndexCache, identity Hyper-Connections, a native MTP layer for speculative decoding, and a 1,048,576-token context window. A text-only hybrid-thinking model targeting software engineering, office and analysis work, game development, and scientific research, co-designed with Tencent products such as CodeBuddy and WorkBuddy.

Key Specifications

Parameters
770.0B
Context
-
Release Date
August 28, 2026
Average Score
58.7%

Timeline

Key dates in the model's history
Announcement
August 28, 2026
Last Update
August 31, 2026

Technical Specifications

Parameters
770.0B
Training Tokens
-
Knowledge Cutoff
-
Family
-
Capabilities
MultimodalZeroEval

Benchmark Results

Model performance metrics across various tests and benchmarks

Reasoning

Logical reasoning and analysis
GPQA
GPQA DiamondSelf-reported
92.3%

Other Tests

Specialized benchmarks
Agents' Last Exam
ALE-CLISelf-reported
22.8%
APEX-Agents
pass@1Self-reported
37.1%
ArXivMath
Self-reported
66.6%
AutomationBench
v1.0.6Self-reported
32.1%
BankerToolBench
Self-reported
78.6%
BioMysteryBench
Self-reported
71.3%
CritPT
OfficialSelf-reported
16.9%
CyberGym
Self-reported
78.4%
DeepSWE
Self-reported
64.3%
DRACO
Self-reported
77.2%
GDPval-AA
GDPval-AA v2 Elo (max_score 3000)Self-reported
55.9%
HorizonMath
pass@4Self-reported
8.8%
Humanity's Last Exam (no tools, text-only)
No tools, text-onlySelf-reported
43.4%
Humanity's Last Exam (with tools, text-only)
With tools, text-onlySelf-reported
55.4%
Job Bench
Self-reported
61.7%
MathArena Apex
MathArena Apex 2025Self-reported
74.2%
MCP Atlas
Public setSelf-reported
83.7%
NL2Repo
Self-reported
58.9%
OfficeQA Pro
Self-reported
66.2%
OneMillion Bench
With toolsSelf-reported
65.4%
PostTrainBench
PostTrainBench V1.1Self-reported
35.6%
Program Bench
Self-reported
17.5%
SkillsBench
Text-only, 79-task subsetSelf-reported
62.9%
SuperChem
Self-reported
66.4%
SWE-bench Multilingual
Self-reported
82.9%
SWE-Bench Pro
Public setSelf-reported
65.7%
SWE-Marathon
Self-reported
31.9%
Terminal-Bench 2.1
Self-reported
85.4%
Toolathlon
Toolathlon-VerifiedSelf-reported
74.1%
WideSearch
Self-reported
83.9%
Workspace Bench
Self-reported
60.2%

License & Metadata

License
apache_2_0
Announcement Date
August 28, 2026
Last Updated
August 31, 2026

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