Qwen3.5-122B-A10B
Active Parameters
122B
Context Length
262.144K
Modality
Multimodal
Architecture
Mixture of Experts (MoE)
License
Apache 2.0
Release Date
24 Feb 2026
Knowledge Cutoff
-
Technical Specifications
Total Expert Parameters
10.0B
Number of Experts
256
Active Experts
9
Attention Structure
Grouped-Query Attention
Hidden Dimension Size
3072
Number of Layers
48
Attention Heads
32
Key-Value Heads
2
Activation Function
SwigLU
Normalization
RMS Normalization
Position Embedding
ROPE
Qwen3.5-122B-A10B
Qwen3.5-122B-A10B is Alibaba Cloud's mid-tier multimodal foundation model, released February 2026. With 122B total parameters and 10B activated through a Mixture-of-Experts architecture (256 experts), it balances high performance with computational efficiency. It achieves strong scores on 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, agentic workflows, and multilingual tasks.
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 Qwen3.5-122B-A10B available.
Rankings
Overall Rank
-
Coding Rank
-
GPU Requirements
Full Calculator
Choose the quantization method for model weights
Context Size: 1,024 tokens