---
title: "Qwen-VL"
type: "tool"
slug: "qwenlm-qwen-vl"
canonical_url: "https://www.graphcanon.com/tools/qwenlm-qwen-vl"
github_url: "https://github.com/QwenLM/Qwen-VL"
homepage_url: null
stars: 6693
forks: 493
primary_language: "Python"
license: "Other"
categories: ["model-training", "llm-frameworks"]
tags: ["vision-language-model", "large-language-models"]
updated_at: "2026-07-07T18:37:49.98755+00:00"
---

# Qwen-VL

> Qwen-VL is a large vision-language model from Alibaba Cloud with various versions optimized for different applications.

Repository for Qwen-VL (通义千问-VL), a large vision-language model developed by Alibaba Cloud. It includes multiple versions like Qwen-VL-Plus and Qwen-VL-Max, each offering enhanced capabilities in visual language understanding. Available via Hugging Face, ModelScope, Web interfaces, mobile apps, APIs, Discord, and a research paper.

## Facts

- Repository: https://github.com/QwenLM/Qwen-VL
- Stars: 6,693 · Forks: 493 · Open issues: 324 · Watchers: 46
- Primary language: Python
- License: Other
- Last pushed: 2024-08-07T02:37:06+00:00

## Categories

- [Model Training](/categories/model-training.md)
- [LLM Frameworks](/categories/llm-frameworks.md)

## Tags

vision-language-model, large-language-models

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## README (excerpt)

```text
<p align="left">
        <a href="README_CN.md">中文</a>&nbsp ｜ &nbspEnglish&nbsp&nbsp ｜ &nbsp<a href="README_JA.md">日本語</a>&nbsp｜ &nbsp<a href="README_KO.md">한국어</a>&nbsp
</p>
<br><br>

<p align="center">
    <img src="assets/logo.jpg" width="400"/>
<p>
<br>

<p align="center">
  Qwen-VL 
  <a href="https://huggingface.co/Qwen/Qwen-VL">🤗</a>
  <a href="https://modelscope.cn/models/qwen/Qwen-VL/summary">🤖</a>&nbsp ｜ 
  Qwen-VL-Chat 
  <a href="https://huggingface.co/Qwen/Qwen-VL-Chat">🤗</a>
  <a href="https://modelscope.cn/models/qwen/Qwen-VL-Chat/summary">🤖</a>&nbsp 
  (Int4: 
  <a href="https://huggingface.co/Qwen/Qwen-VL-Chat-Int4">🤗</a> 
  <a href="https://modelscope.cn/models/qwen/Qwen-VL-Chat-Int4/summary">🤖</a>&nbsp) ｜
  Qwen-VL-Plus 
  <a href="https://huggingface.co/spaces/Qwen/Qwen-VL-Plus">🤗</a> 
  <a href="https://modelscope.cn/studios/qwen/Qwen-VL-Chat-Demo/summary">🤖</a>&nbsp ｜ 
  Qwen-VL-Max 
  <a href="https://huggingface.co/spaces/Qwen/Qwen-VL-Max">🤗</a>
  <a href="https://modelscope.cn/studios/qwen/Qwen-VL-Max/summary">🤖</a>&nbsp
<br>
  <a href="https://tongyi.aliyun.com/qianwen">Web</a>&nbsp&nbsp | &nbsp&nbsp
  <a href="http://ofasys-wlcb.oss-accelerate-overseas.aliyuncs.com/QwenVL/blog/app_qrcode.jpg">APP</a>&nbsp&nbsp | &nbsp&nbsp
  <a href="https://help.aliyun.com/zh/dashscope/developer-reference/vl-plus-quick-start">API</a>&nbsp&nbsp | &nbsp&nbsp
  <a href="https://github.com/QwenLM/Qwen/blob/main/assets/wechat.png">WeChat</a>&nbsp&nbsp | &nbsp&nbsp
  <a href="https://discord.gg/CV4E9rpNSD">Discord</a>&nbsp&nbsp | &nbsp&nbsp
  <a href="https://arxiv.org/abs/2308.12966">Paper</a>&nbsp&nbsp | &nbsp&nbsp
  <a href="TUTORIAL.md">Tutorial</a>
</p>
<br><br>

---
## Qwen-VL-Plus & Qwen-VL-Max

Qwen-Vl-Plus and Qwen-VL-Max are the upgraded and latest versions of the Qwen-VL model family, currently supporting access for free through <a href="https://huggingface.co/spaces/Qwen/Qwen-VL-Max">🤗</a>, <a href="https://modelscope.cn/studios/qwen/Qwen-VL-Max/summary">🤖</a>, [Web pages](https://qianwen.aliyun.com), [APP](http://ofasys-wlcb.oss-accelerate-overseas.aliyuncs.com/QwenVL/blog/app_qrcode.jpg) and [APIs](https://help.aliyun.com/zh/dashscope/developer-reference/vl-plus-quick-start/).

| Model name | Model description |
| --- | --- |
| Qwen-VL-Plus | Qwen's **Enhanced Large Visual Language Model**. Significantly upgraded for detailed recognition capabilities and text recognition abilities, supporting ultra-high pixel resolutions up to millions of pixels and extreme aspect ratios for image input. It delivers **significant** performance across a broad range of visual tasks. |
| Qwen-VL-Max | Qwen's **Most Capable Large Visual Language Model**. Compared to the enhanced version, further improvements have been made to visual reasoning and instruction-following capabilities, offering a higher level of visual perception and cognitive understanding. It delivers **optimal** performance on an even broader range of complex tasks. |

The key technical advancements in these versions include:
- Substantially boost in image-related **reasoning capabilities**;
- Considerable enhancement in recognizing, extracting, and analyzing **details of images**, especially for text-oriented tasks;
- Support for **high-definition images** with resolutions above one million pixels and extreme aspect ratios;

These two models not only significantly surpass all previous best results from open-source LVLM models, but also perform on par with Gemini Ultra and GPT-4V in multiple text-image multimodal tasks.

Notably, Qwen-VL-Max outperforms both GPT-4V from OpenAI and Gemini from Google in tasks on Chinese question answering and Chinese text comprehension. This breakthrough underscores the model’s advanced capabilities and its potential to set new standards in the field of multimodal AI research and application.

<table>
<thead>
  <tr>
    <th>Model</th>
    <th>DocVQA</th>
    <th>ChartQA</th>
    <th>AI2D</th>
    <th>TextVQA</th>
    <
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/qwenlm-qwen-vl`](/api/graphcanon/tools/qwenlm-qwen-vl)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_