Qwen3.5-2B
Parameters
2B
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
2048
Number of Layers
24
Attention Heads
8
Key-Value Heads
2
Activation Function
SwigLU
Normalization
RMS Normalization
Position Embedding
ROPE
Qwen3.5-2B
Qwen3.5-2B is Alibaba Cloud's small-scale multimodal foundation model with 2B parameters, released February 2026. It uses a hybrid architecture combining Gated Delta Networks and Gated Attention in a 6×(3×DeltaNet→FFN→1×Attention→FFN) pattern. In thinking mode, it achieves MMLU-Pro (74.0%), GPQA Diamond (65.8%), and GPQA (51.6%). Features unified vision-language capabilities, 262k native context, multi-token prediction training, and supports both thinking and non-thinking modes for prototyping, fine-tuning, and research purposes across 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 Qwen3.5-2B available.
Rankings
Overall Rank
-
Coding Rank
-
GPU Requirements
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Context Size: 1,024 tokens