The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers state-of-the-art performance comparable to leading-edge models across a wide range of tasks, including language understanding, logical reasoning, code generation, agent-based tasks, image understanding, video understanding, and graphical user interface (GUI) interactions. With its robust code-generation and agent capabilities, the model exhibits strong generalization across diverse agent.
| 信号 | 强度 | 权重 | 影响 |
|---|---|---|---|
| Benchmarksjust now | 73 | 30% | +22.0 |
| Capabilitiesjust now | 83 | 20% | +16.7 |
| Recencyjust now | 100 | 15% | +15.0 |
| Context Windowjust now | 86 | 10% | +8.6 |
| Output Capacityjust now | 80 | 10% | +8.0 |
| Pricingjust now | 2 | 15% | +0.4 |
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。
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成本估算器
每月比类别平均节省$32.79
来自已验证的来源。