Qwen3.5-4B
Parameters
4B
Context Length
262.144K
Modality
Multimodal
Architecture
Dense
License
Apache 2.0
Release Date
24 Feb 2026
Knowledge Cutoff
-
Technical Specifications
Attention Structure
Grouped-Query Attention
Hidden Dimension Size
2560
Number of Layers
32
Attention Heads
16
Key-Value Heads
4
Activation Function
SwigLU
Normalization
RMS Normalization
Position Embedding
ROPE
Qwen3.5-4B
Qwen3.5-4B is Alibaba Cloud's compact multimodal foundation model with 4B parameters, released February 2026. It uses a hybrid architecture combining Gated Delta Networks and Gated Attention in an 8×(3×DeltaNet→FFN→1×Attention→FFN) pattern. It achieves MMLU-Pro (79.1%), GPQA Diamond (76.2%), HMMT benchmarks (74%/77%), and strong vision-language scores. Features unified vision-language capabilities, 262k native context (extensible to 1M), multi-token prediction training, and delivers efficient performance across reasoning, coding, multimodal understanding, and multilingual tasks covering 201 languages.
About Qwen 3.5
Qwen 3.5 is Alibaba Cloud's latest-generation foundation model family, released February 2026. It represents a significant leap forward, integrating breakthroughs in multimodal learning (unified vision-language foundation), efficient hybrid architecture (Gated Delta Networks with sparse Mixture-of-Experts), scalable reinforcement learning across million-agent environments, and global linguistic coverage spanning 201 languages. Available under Apache 2.0 license with open weights.
Other Qwen 3.5 Models
Evaluation Benchmarks
No evaluation benchmarks for Qwen3.5-4B available.
Rankings
Overall Rank
-
Coding Rank
-
GPU Requirements
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Context Size: 1,024 tokens