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Available now on ModelsLab · Language Model

Qwen: Qwen3 VL 30B A3B ThinkingVision Meets Reasoning

Process Vision. Reason Deeply.

Visual Agent

Operate GUIs Autonomously

Recognizes GUI elements, understands functions, invokes tools, completes tasks on PC/mobile.

Spatial Perception

3D Grounding Enabled

Judges object positions, viewpoints, occlusions with 2D/3D grounding for spatial reasoning.

Long Context

1M Token Videos

Handles 256K native context, expandable to 1M for books or hours-long videos with second-level recall.

Examples

See what Qwen: Qwen3 VL 30B A3B Thinking can create

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

GUI Automation

Analyze this screenshot of a web app. Identify the login button, describe its position relative to the logo, and generate HTML/CSS to recreate the navigation bar.

Spatial Diagram

Examine this architectural blueprint image. Determine 3D positions of rooms, check for occlusion issues, and output Draw.io XML for a revised floor plan.

Video Indexing

From this 30-second product demo video, index key events by timestamp, describe spatial changes in object positions, and suggest UI improvements via code.

Document OCR

Process this multi-page technical PDF scan. Extract equations, perform STEM reasoning on causal relationships, and generate a summarized report with visual alignments.

For Developers

A few lines of code.
Visual 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 30B A3B Thinking

Read the docs

Ready to create?

Start generating with Qwen: Qwen3 VL 30B A3B Thinking on ModelsLab.