Qwen3.5-122B-A10B: Advanced Vision-Language Model

Experience efficient text and image processing with Qwen3.5-122B-A10B.

Input: text · image · video Output: text Context: 262,144 tokens Release: 2026-02-25
The Qwen3.5-122B-A10B, released on February 25, 2026, is a cutting-edge vision-language model from Qwen. It features a hybrid architecture that combines a linear attention mechanism with a sparse mixture-of-experts model, enhancing inference efficiency. With a context length of 262,144, this model processes text, images, and videos, providing text outputs. Its capabilities in text processing significantly exceed those of its predecessor, Qwen3-235B-2507, while its visual processing is superior to Qwen3-VL-235B. This model is designed for those seeking advanced multimodal interactions.

Use Cases

Here are a few ways teams apply Qwen: Qwen3.5-122B-A10B in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Generate text from images and videos

Enhance content creation workflows

Facilitate advanced multimodal interactions

Key Features

A quick look at the capabilities that make this model useful in real projects.

Hybrid architecture for efficiency

High context length of 262,144

Processes text, images, and videos

Superior text and visual capabilities

Supports various input modalities

Specs

Overview
Vendor
qwen
Model ID
qwen/qwen3.5-122b-a10b
Release
2026-02-25
Modalities & context
Input
text · image · video
Output
text
Context
262,144 tokens
Parameters & defaults

Supported parameters: frequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p

Defaults: temperature 0.6, top_p 0.95

Benchmark tests: Qwen: Qwen3.5-122B-A10B

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

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Chat with Qwen3.5-122B-A10B
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