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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.
| Signal | Strength | Weight | Impact |
|---|---|---|---|
| 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 |
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Cost Estimator
You save $32.22/month vs category average
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