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Available now on ModelsLab · Language Model

Qwen: Qwen3 VL 235B A22B ThinkingThink Visually. Reason Deeply

Unlock Multimodal Intelligence

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

Copy any prompt below and try it yourself in the playground.

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.

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

FAQ

Common questions about Qwen: Qwen3 VL 235B A22B Thinking

Read the docs

Ready to create?

Start generating with Qwen: Qwen3 VL 235B A22B Thinking on ModelsLab.