Qwen3.5-Flash
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
Output
Context
1000K
Max Output
66K
Parameters
—
Technical Specifications
Model TypeVision
Context Window1.0M
Max Output Tokens66K
Parameters—
Training Cutoff—
Licenseapache-2.0
Capabilities
Input Modalities
textimagevideo
Output Modalities
text
Features
function_callingjson_modereasoningstreamingtext_generationvision
Resources & Links
Related Tools
Data sourced from official provider APIs and documentation
Last updated: May 5, 2026
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