The Qwen 3.5 native vision-language Plus model is built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In multiple task evaluations, the 3.5 series has demonstrated outstanding performance comparable to current leading frontier models, with leapfrog improvements over the 3 series in both pure-text and multimodal capabilities. This model version is functionally equivalent to the snapshot model qwen3.5-plus-2026-02-15.
Pricing
Input Modalities
- Text
- Vision
- Video
Output Modalities
- Text
Capabilities
- Thinking
- Web
- Tools
- Tool calling
- Structured outputs
- Long context
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Python
