Discover Qwen3.5-27B: A Versatile Vision-Language Model

Qwen3.5-27B excels in processing text, images, and videos to generate insightful text outputs.

Input: text · image · video Output: text Context: 262,144 tokens Release: 2026-02-25

The Qwen3.5-27B model by Qwen, released on February 25, 2026, is designed to handle text, image, and video inputs, providing text outputs. With a remarkable context length of 262,144 tokens, this model incorporates a linear attention mechanism that ensures quick response times while maintaining a balance between inference speed and performance. Its capabilities make it a strong contender in the vision-language domain, allowing for effective reasoning and structured outputs. Whether you're working with multimedia content or need a reliable text generation tool, Qwen3.5-27B is equipped to meet diverse needs.

Use Cases

Here are a few ways teams apply Qwen: Qwen3.5-27B in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Generate text from multimedia content

Enhance user interactions with quick responses

Support creative projects with diverse inputs

Facilitate data analysis through structured outputs

Key Features

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

Handles text, image, and video inputs

Fast response times with linear attention

Large context length of 262,144 tokens

Supports various output formats

Includes advanced reasoning capabilities

Specs

Overview

Vendor
qwen

Model ID
qwen/qwen3.5-27b

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: Qwen3.5-27B

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 Qwen3.5-27B

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