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qwen/qwen3-5-flash-02-23
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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.

2/25/2026
1,000,000 tokens
Specifications

Modalities

Input
text
image
video
Output
text

Supported Parameters

include_reasoning
max_tokens
presence_penalty
reasoning
response_format
seed
structured_outputs
temperature
tool_choice
tools
top_p

Max Output Tokens

65,536