Qwen3-32B
Parameters
32B
Context Length
131K
Modality
Text
Architecture
Dense
License
Apache 2.0
Release Date
29 Apr 2025
Knowledge Cutoff
Aug 2024
API Pricing (per 1M)
Input: $0.16 · Output: $0.64
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
3x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
131,072 tokens
Consumer
5x RTX 4090
24GB VRAM
Datacenter
2x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
Rank
#153
| Benchmark | Score | Rank |
|---|---|---|
StackUnseen | 0.457 | 27 |
Agentic Index | auto 0.9 | 129 |
General Text | 1347 | 142 |
Coding Index | auto 0.15 | 146 |
Intelligence Index | auto 0.09 Standard 0.07 | 265 283 |
Coding Archived | 0.40 | 18 |
Rankings
Overall Rank
#153
Coding Rank
#114
About Qwen3-32B
Qwen3-32B is Alibaba Cloud's premier dense transformer in the Qwen3 series, engineered for autonomous tool orchestration and complex logical deduction. It incorporates hybrid reasoning and Grouped-Query Attention across an extensible 131K context window.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
96
Key-Value Heads
8
Attention Head Dimension
128
Position Embedding
ROPE
RoPE Theta
1,000,000
Sliding Window Attention
No
Sliding Window Size
-
Sliding Window Ratio
-
Linear Attention
-
Linear Attention Ratio
-
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Auxiliary Parameters
-
Hidden Dimension Size
5,120
Number of Layers
60
FFN Intermediate Size (Dense)
25,600
Multi-Token Prediction Heads
-
Tokenizer
Vocabulary Size
151,936
About Qwen 3
The Alibaba Qwen 3 model family comprises dense and Mixture-of-Experts (MoE) architectures, with parameter counts from 0.6B to 235B. Key innovations include a hybrid reasoning system, offering 'thinking' and 'non-thinking' modes for adaptive processing, and support for extensive context windows, enhancing efficiency and scalability.