趋近智
参数
27B
上下文长度
262.144K
模态
Multimodal
架构
Dense
许可证
Apache 2.0
发布日期
24 Feb 2026
训练数据截止日期
-
注意力结构
Grouped-Query Attention
隐藏维度大小
5120
层数
64
注意力头
24
键值头
4
激活函数
SwigLU
归一化
RMS Normalization
位置嵌入
ROPE
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.
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.
没有可用的 Qwen3.5-27B 评估基准。