---
title: Qwen2.5 VL 32B Instruct — Vision LLM | ModelsLab
description: Access Qwen: Qwen2.5 VL 32B Instruct API for multimodal reasoning on images, videos, and documents. Try Qwen Qwen2 5 VL 32B Instruct now.
url: https://modelslab.com/qwen-qwen25-vl-32b-instruct
canonical: https://modelslab.com/qwen-qwen25-vl-32b-instruct
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:07:52.741062Z
---

Available now on ModelsLab · Language Model

Qwen: Qwen2.5 VL 32B Instruct
Vision Meets Reasoning
---

[Try Qwen: Qwen2.5 VL 32B Instruct](/models/open_router/qwen-qwen2.5-vl-32b-instruct) [API Documentation](https://docs.modelslab.com)

Process Multimodal Data
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Image Analysis

### Parse Charts Documents

Handles image-text reasoning, charts, UI, and document understanding with Qwen: Qwen2.5 VL 32B Instruct model.

Video Comprehension

### Understand Long Videos

Analyzes videos over 1 hour for event detection using Qwen Qwen2 5 VL 32B Instruct API.

Agentic Tools

### Visual Grounding Outputs

Generates bounding boxes, points, JSON for objects in Qwen: Qwen2.5 VL 32B Instruct alternative.

Examples

See what Qwen: Qwen2.5 VL 32B Instruct can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/qwen-qwen2.5-vl-32b-instruct).

Chart Analysis

“Analyze this sales chart image. Extract key trends, totals, and comparisons in structured JSON format.”

Invoice Extraction

“Extract all fields from this invoice scan: date, items, totals, vendor details in JSON.”

Video Events

“From this video clip of a city timelapse, detect and describe traffic peaks and weather changes.”

UI Navigation

“Describe this app screenshot UI. Suggest steps to book a flight using visual elements.”

For Developers

A few lines of code.
Multimodal inference. One call.
---

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about Qwen: Qwen2.5 VL 32B Instruct
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[Read the docs ](https://docs.modelslab.com)

### What is Qwen: Qwen2.5 VL 32B Instruct?

### How does qwen qwen2 5 vl 32b instruct API work?

### What are strengths of Qwen: Qwen2.5 VL 32B Instruct model?

### Is Qwen: Qwen2.5 VL 32B Instruct alternative viable?

### Qwen: Qwen2.5 VL 32B Instruct LLM context length?

### Can qwen qwen2 5 vl 32b instruct api handle videos?

Ready to create?
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Start generating with Qwen: Qwen2.5 VL 32B Instruct on ModelsLab.

[Try Qwen: Qwen2.5 VL 32B Instruct](/models/open_router/qwen-qwen2.5-vl-32b-instruct) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-04-15*