Qwen3.5-9B
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design with early fusion of multimodal tokens, allowing the model to process and reason across text and images within the same context.
Input
Output
Context
256K
Max Output
66K
Parameters
9B
Technical Specifications
Model TypeVision
Context Window256K
Max Output Tokens66K
Parameters9B
Training Cutoff—
Licenseapache-2.0
Capabilities
Input Modalities
textimagevideo
Output Modalities
text
Features
function_callingjson_modereasoningstreamingtext_generationvision
Resources & Links
Estimated GPU Requirements for Qwen3.5-9B
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: May 5, 2026
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