Models Model details

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.

Input
$0.5

/ 1M tokens

Output
$3.6

/ 1M tokens

Context window
262.14K

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

Hugging Face: verifiedLicense: publishedParameter count: published

Modalities

Input · TextInput · ImageInput · VideoOutput · Text

Generation controls

Frequency penaltyInclude reasoningLogit biasLogprobsMax tokensMin pPresence penaltyReasoningRepetition penaltyResponse formatSeedStopStructured outputsTemperatureTool choiceToolsTop kTop logprobsTop p

Capability scores

21.4
Intelligence index

Better than 50% of models compared

Creative tasks

Category performance

3D
Top 55%

1161 Elo

56.7% win

SVG
Top 63%

1139 Elo

56.1% win

Data visualization
Top 59%

1175 Elo

53.2% win

Code
Top 54%

1181 Elo

52.6% win

Websites
Top 53%

1192 Elo

52.5% win

UI components
Top 63%

1163 Elo

51.4% win

Games
Top 61%

1143 Elo

50.2% win