Models Model details

Qwen

Qwen: Qwen3.5-Flash

qwen/qwen3.5-flash-02-23

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.

Input
$0.065

/ 1M tokens

Output
$0.26

/ 1M tokens

Context window
1M

tokens

Limits

Context

1,000,000

tokens

Max output

65,536

6.6% of the context window

Model facts

Author

Qwen

Tokenizer

Qwen3

Modality

Text + Image + Video -> Text

Created

Feb 25, 2026

Publication status

Hugging Face: not mappedLicense: not publishedParameter count: not published

Modalities

Input · TextInput · ImageInput · VideoOutput · Text

Generation controls

Frequency penaltyInclude reasoningMax tokensPresence penaltyReasoningResponse formatSeedStopStructured outputsTemperatureTool choiceToolsTop kTop p