Qwen: Qwen3.5-122B-A10B
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...
Everything else
| Max output | 66K |
|---|---|
| Input / 1M | $0.26 |
| Output / 1M | $2.08 |
| Cache read / 1M | — |
| Cache write / 1M | — |
| 1M in + 1M out | $2.34 |
| Takes | text, image, video |
| Returns | text |
| Tools | yes |
| Reasoning | optional |
| Open weights | yes |
| Released | 2026-02-25 |
| Knowledge cutoff | — |
| Retires | — |
| Catalog id | qwen/qwen3.5-122b-a10b |
Using it
In 00, this model is picked per agent — and per tier, so the model that answers your customers need not be the one that writes your code. Get 00.