Qwen logo

Qwen · Language Model

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.

262,144 tokens

Overview

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.

Qwen3.5-122B-A10B is available in OmnyChat. 262,144 token context window. Image input.

Key capabilities

  • 262,144 token context window
  • Image input

Using this model

In OmnyChat

Use Qwen3.5-122B-A10B in OmnyChat and compare its results with other language models on the same task.

Best for: Chat and comparing answers on your own prompts.

Frequently asked questions

How do I use Qwen3.5-122B-A10B?

Open chat in OmnyChat and select Qwen3.5-122B-A10B. Model access and usage depend on your plan.

What does Qwen3.5-122B-A10B support in OmnyChat?

262,144 token context window. Image input.

Related models