Aliyun Qwen VL

Aliyun Qwen VL

3.2

An open-source Agent Skill wrapping Alibaba Cloud Model Studio Qwen VL models for image Q&A, OCR-style extraction, and chart understanding.

Last Updated Nov 10, 2026

Key Features

Image understanding: pass an image URL, local path, or data URL with a natural-language prompt and get a grounded summary or answer.
Structured extraction: JSON mode and JSON Schema constraints let you pull fields from invoices, forms, and charts into machine-readable output.
Normalized interface: an analyze\_image.py script with a unified request/response format (prompt + image in, text + usage out) hides DashScope compatible-mode API details.
Model selection: defaults to qwen3-vl-plus, switchable to faster options like qwen3-vl-flash, with pinned snapshot versions for reproducibility.
Production details: exponential-backoff retries for 429/5xx, output and evidence files on disk, and guidance for compressing large images.

Pricing & Fees

  • Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans.
  • Cost basis: This skill itself is open source in the alicloud-skills repository; running it requires your own Alibaba Cloud DashScope account and a DASHSCOPE_API_KEY, with usage billed under that account.
  • Setup requirement: No separate license purchase — only environment configuration (the API key) is needed, and the skill includes quickstart commands, cURL examples, and smoke tests to get started.
  • Model usage: Invokes Qwen VL multimodal models via API, so costs and any rate or usage limits depend on the DashScope service terms for those models.

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介绍

Aliyun Qwen VL is a multimodal vision skill from the open-source alicloud-skills project. It wraps Alibaba Cloud Model Studio's Qwen vision-language models into a reusable Agent Skill for image Q&A, visual analysis, OCR-style extraction, chart and table reading, and screenshot understanding. The skill ships with a standard SKILL.md structure, ready-to-run Python scripts, request examples, and reference docs, and can be installed into any Agent Skills-compatible tool such as Claude Code or OpenCode with a single command.

Best For

  • Individuals and teams who need AI assistants to read screenshots, reports, invoices, and charts.
  • Developers embedding image-understanding nodes in agent workflows such as auto-review, document intake, and chart interpretation.
  • Engineering teams building multimodal apps on Alibaba Cloud Model Studio who want standardized, reusable skill packages.