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.
| 信号 | 强度 | 权重 | 影响 |
|---|---|---|---|
| Benchmarksjust now | 67 | 30% | +20.0 |
| Capabilitiesjust now | 83 | 20% | +16.7 |
| Recencyjust now | 100 | 15% | +15.0 |
| Context Windowjust now | 95 | 10% | +9.5 |
| Output Capacityjust now | 80 | 10% | +8.0 |
| Pricingjust now | 0 | 15% | +0.0 |
社区和从业者反馈在基准测试和价格之上增加了真实世界的信号。
Share your experience with Qwen3.5-Flash and help the community make better decisions.
成本估算器
每月比类别平均节省$41.31
来自已验证的来源。