---
title: Qwen3 VL 235B Thinking — Vision LLM | ModelsLab
description: Run Qwen: Qwen3 VL 235B A22B Thinking for multimodal reasoning, visual agents, and long video analysis. Generate precise outputs via API now.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/qwen-qwen3-vl-235b-a22b-thinking
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/qwen-qwen3-vl-235b-a22b-thinking
type: website
component: Seo/ModelPage
generated_at: 2026-05-13T09:45:55.200867Z
---

Available now on ModelsLab · Language Model

Qwen: Qwen3 VL 235B A22B Thinking
Think Visually. Reason Deeply
---

[Try Qwen: Qwen3 VL 235B A22B Thinking](/models/open_router/qwen-qwen3-vl-235b-a22b-thinking) [API Documentation](https://docs.modelslab.com)

Unlock Multimodal Intelligence
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Visual Agent

### Operate GUIs Autonomously

Recognizes elements, understands functions, invokes tools in PC/mobile interfaces.

Spatial Reasoning

### Master 2D 3D Grounding

Judges positions, viewpoints, occlusions for spatial tasks and embodied AI.

Video Comprehension

### Handle 1M Token Contexts

Processes hours-long videos with full recall and second-level indexing.

Examples

See what Qwen: Qwen3 VL 235B A22B Thinking can create
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Copy any prompt below and try it yourself in the [playground](/models/open_router/qwen-qwen3-vl-235b-a22b-thinking).

Diagram to Code

“Convert this flowchart image to Draw.io XML code. Ensure all nodes and connections match exactly. Output only the XML.”

Spatial Analysis

“Analyze this architectural blueprint: identify object positions, viewpoints, occlusions, and provide 3D grounding coordinates for key elements.”

Video Timeline

“From this 30-minute product demo video, extract second-level events: describe UI changes at 00:15, 02:30, and generate timeline-aligned text summary.”

STEM Reasoning

“Given this physics diagram image, solve the causal chain: compute forces, predict motion trajectory, explain step-by-step with evidence.”

For Developers

A few lines of code.
Vision reasoning. One call.
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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: Qwen3 VL 235B A22B Thinking
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[Read the docs ](https://docs.modelslab.com)

### What is Qwen: Qwen3 VL 235B A22B Thinking?

Qwen: Qwen3 VL 235B A22B Thinking is a MoE vision-language model with 235B total parameters, 22B active. It excels in multimodal reasoning for STEM, math, and visual tasks. Supports text, image, video inputs with 256K native context.

### How does qwen qwen3 vl 235b a22b thinking API work?

Access via OpenAI-compatible endpoints with base64 images or video URLs. Send multimodal messages for reasoning outputs. Handles visual coding, agents, long contexts seamlessly.

### What makes Qwen: Qwen3 VL 235B A22B Thinking model unique?

Features Thinking mode for step-by-step reasoning on complex visuals. Includes Interleaved-MRoPE for video and DeepStack for fine details. SOTA on perception, spatial, agent benchmarks.

### Is Qwen: Qwen3 VL 235B A22B Thinking LLM fast?

Outputs at 56+ tokens/second, above average for size. MoE architecture activates 22B params efficiently. Balances speed and depth in Thinking/Non-Thinking modes.

### Qwen: Qwen3 VL 235B A22B Thinking alternative to what?

Competes with top models like DeepSeek-R1, o1 in coding, math, vision tasks. Stronger visual agent, video understanding than prior VLMs. Ideal for document AI, UI automation.

### Can qwen qwen3 vl 235b a22b thinking api process videos?

Yes, supports hours-long videos with 1M expandable context. Provides timeline queries, full recall, dynamics comprehension. Uses second-level indexing for precision.

Ready to create?
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Start generating with Qwen: Qwen3 VL 235B A22B Thinking on ModelsLab.

[Try Qwen: Qwen3 VL 235B A22B Thinking](/models/open_router/qwen-qwen3-vl-235b-a22b-thinking) [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 - 2026-05-13*