Qwen: Qwen3.5-Flash
QwenID: 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.
Pricing per 1M Tokens
| Input (Prompt) | $0.07 |
| Output (Completion) | $0.26 |
| Cache Read | Free |
| Cache Write | Free |
| Image | N/A |
Specifications
| Context Length | 1M |
| Max Output Tokens | 66K |
| Input Modalities | Text + Image + Video |
| Output Modalities | Text |
| Tokenizer | Qwen3 |
| Instruct Type | N/A |
| Top Provider Context | 1M |
| Top Provider Max Output | 66K |
| Moderated | No |
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Last updated: March 23, 2026
First tracked: March 23, 2026