Hunyuan 4 Preview
Active Parameters
770B
Context Length
1.05M
Modality
Text
Architecture
Mixture of Experts
KV Cache Rate
156 KB/tok
License
Apache 2.0
Release Date
27 Aug 2026
Knowledge Cutoff
-
API Pricing (per 1M)
Input: $0.83 · Output: $2.50
Hardware Sizing
Precision
Context
Workload Memory: 1529.23 GB
FP16 · 8K context
Base Weights: 1525.51 GB
KV Cache: 1.22 GB
Runtime & Graphs: 2.50 GB
Minimum Required Hardware
Cluster: 16x NVIDIA H200 141GB
1529.2 / 2030.4 GB usable · TP 8 · PP 2
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Architecture Diagram
Evaluation Benchmarks
Rank
#48
| Benchmark | Score | Rank |
|---|---|---|
Graduate-Level QA | 0.923 | 14 |
Rankings
Overall Rank
#48
Coding Rank
-
About Hunyuan 4 Preview
Hy4 Preview is Tencent's next-generation open foundation model built on the HYV4 architecture. It provides enhanced reasoning, coding, and multi-turn conversational capabilities.
Technical Specifications
Attention
Attention Structure
DeepSeek Sparse Attention
Attention Heads
64
Key-Value Heads
8
Attention Head Dimension
64
Position Embedding
ROPE
RoPE Theta
10,000,000
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
6,144
Number of Layers
78
FFN Intermediate Size (Dense)
18,432
Multi-Token Prediction Heads
1
Tokenizer
Vocabulary Size
120,832
Mixture of Experts
Total Expert Parameters
49.0B
Number of Experts
256
Active Experts
8
Shared Experts
1
FFN Intermediate Size (per Expert)
2,048
Dense Layers Before MoE
1
Resources
About Hunyuan
Tencent Hunyuan large language models with various capabilities.