Discover the Qwen3.5 397B A17B Model

Unlock powerful capabilities in language and vision tasks.

Input: text · image · video Output: text Context: 262,144 tokens Release: 2026-02-16

The Qwen3.5 397B A17B, released on February 16, 2026, is a cutting-edge vision-language model by Qwen. It features a context length of 262,144 and supports input modalities like text, image, and video while producing text outputs. This model combines a linear attention mechanism with a sparse mixture-of-experts architecture, enhancing inference efficiency. It excels in various tasks such as language understanding, logical reasoning, code generation, and image and video comprehension. With its robust capabilities, the Qwen3.5 model stands out in agent-based tasks and GUI interactions, making it a versatile tool for developers and researchers alike.

Use Cases

Here are a few ways teams apply Qwen: Qwen3.5 397B A17B in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Generate code snippets effectively

Understand and analyze images and videos

Engage in complex logical reasoning

Facilitate GUI interactions seamlessly

Develop intelligent agent-based applications

Key Features

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

Hybrid architecture for efficient processing

Supports text, image, and video inputs

High context length of 262,144 tokens

Strong performance in code generation

Excels in logical reasoning and agent tasks

Specs

Overview

Vendor
qwen

Model ID
qwen/qwen3.5-397b-a17b

Release
2026-02-16

Modalities & context

Input
text · image · video

Output
text

Context
262,144 tokens

Parameters & defaults

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

Defaults: temperature 0.6, top_p 0.95

Benchmark tests: Qwen: Qwen3.5 397B A17B

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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