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Available now on ModelsLab · Language Model

Qwen: Qwen3 VL 235B A22B InstructVision Meets Reasoning

Process Images, Generate Text

Multimodal Input

Images and Video

Handles text, images, video for VQA, OCR, document parsing with 262K context.

Agent Capabilities

GUI and Tool Use

Operates interfaces, aligns video timelines, supports multi-image dialogues.

Visual Coding

Sketches to Code

Converts mockups to Draw.io, HTML/CSS/JS; aids UI debugging workflows.

Examples

See what Qwen: Qwen3 VL 235B A22B Instruct can create

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

Chart Analysis

Analyze this sales chart image. Extract key trends, totals, and comparisons across quarters. Provide data in table format.

Document OCR

Extract all text from this multilingual invoice image. Identify fields like date, amount, vendor. Output as JSON.

Spatial Grounding

Describe object positions in this room photo. Ground locations in 2D coordinates. Note occlusions and viewpoints.

Video Timeline

From this video frame sequence, locate event at 1:23. Describe actions, align text to seconds.

For Developers

A few lines of code.
Multimodal inference. Few lines.

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 Instruct

Read the docs

Ready to create?

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