Qwen
Qwen: Qwen3.5 397B A17B
qwen/qwen3.5-397b-a17b
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers state-of-the-art performance comparable to leading-edge models across a wide range of tasks, including language understanding, logical reasoning, code generation, agent-based tasks, image understanding, video understanding, and graphical user interface (GUI) interactions. With its robust code-generation and agent capabilities, the model exhibits strong generalization across diverse agent.
/ 1M tokens
/ 1M tokens
tokens
Limits
Context
262,144
tokens
Max output
235,929
90% of the context window
Parameters
403,397,928,944
Model facts
Author
Qwen
Tokenizer
Qwen3
Modality
Text + Image + Video -> Text
License
Apache-2.0
Created
Feb 16, 2026
Hugging Face
Qwen/Qwen3.5-397B-A17B
Default generation parameters
temperature
0.6
top_k
20
top_p
0.95
Publication status
Modalities
Generation controls
Capability scores
Better than 50% of models compared
Creative tasks
Category performance
1161 Elo
56.7% win
1139 Elo
56.1% win
1175 Elo
53.2% win
1181 Elo
52.6% win
1192 Elo
52.5% win
1163 Elo
51.4% win
1143 Elo
50.2% win