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