Qwen3 VL Plus

Qwen3 VL Plus API

Released 2025Up to 256K Tokens contextN/A parameters

Documentation

Qwen3 VL Plus API enables Image analysis for objects, scenes, and attributes with natural language descriptions, OCR-style extraction of text from documents, screenshots, and real-world photos, and Visual question answering over charts, UIs, and complex diagrams. Vision-language model that understands images and text together. Standout strengths include Strong multimodal understanding. It is well suited for multimodal assistants that combine image understanding with grounded text reasoning in real-time workflows.

from openai import OpenAI # Initialize the OpenAI client with Qubrid base URL client = OpenAI( base_url="https://platform.qubrid.com/v1", api_key="QUBRID_API_KEY", ) stream = client.chat.completions.create( model="Qwen/Qwen3-VL-Plus", messages=[ { "role": "user", "content": [ { "type": "text", "text": "What is in this image? Describe the main elements." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ], max_tokens=16384, temperature=0.1, top_p=1, stream=True ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n")

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API access

INPUT$0.20 /1M
OUTPUT$1.60 /1M
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Dedicated

Cloud GPU VM

Price starts at$1.25 / GPU/ hr
Deploy with GPU VM

Interactive

Playground

INPUT$0.20 /1M
OUTPUT$1.60 /1M
Chat in Playground

Enterprise
Platform Integration

Docker

Docker Support

Official Docker images for containerized deployments

Kubernetes

Kubernetes Ready

Production-grade KBS manifests and Helm charts

SDK

SDK Libraries

Official SDKs for Python, Javascript, Go, and Java

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