Qwen3.5-27B
Parameters
27B
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
5120
Number of Layers
64
Attention Heads
24
Key-Value Heads
4
Activation Function
SwigLU
Normalization
RMS Normalization
Position Embedding
ROPE
Qwen3.5-27B
Qwen3.5-27B is Alibaba Cloud's dense multimodal foundation model with 27B parameters, released February 2026. Unlike the MoE variants, it uses a dense architecture combining Gated Delta Networks and Feed Forward Networks. It achieves MMLU-Pro (86.1%), GPQA Diamond (85.5%), SWE-bench Verified (72.4%), and Terminal-Bench 2.0 (41.6%). Features unified vision-language capabilities, 262k native context (extensible to 1M), and excels across reasoning, coding, multimodal understanding, and multilingual tasks spanning 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 Qwen3.5-27B available.
Rankings
Overall Rank
-
Coding Rank
-
GPU Requirements
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Context Size: 1,024 tokens