The Qwen3.5 122B-A10B 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. In terms of overall performance, this model is second only to Qwen3.5-397B-A17B. Its text capabilities significantly outperform those of Qwen3-235B-2507, and its visual capabilities surpass those of Qwen3-VL-235B.
| 信号 | 强度 | 权重 | 影响 |
|---|---|---|---|
| Benchmarksjust now | 69 | 30% | +20.8 |
| 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% | +0.3 |
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成本估算器
每月比类别平均节省$34.48
来自已验证的来源。