Qwen3 VL 30B A3B Instruct

Qwen3 VL 30B A3B Instruct API

Released 2024128K Tokens context30B params parameters

Documentation

Qwen3 VL 30B A3B Instruct API enables Advanced multimodal chat, High-accuracy OCR & document understanding, Visual reasoning & VQA, Chart, diagram & layout interpretation, and Long-context multimodal analysis. Qwen3-VL-30B-A3-Instruct is a large-scale, high-capacity vision-language instruction model designed for advanced multimodal reasoning. It delivers significantly stronger visual understanding, OCR accuracy, document reasoning, long-context comprehension, and agent-style interactions compared to smaller Qwen-VL variants. Standout strengths include State-of-the-art vision-language reasoning and Excellent multilingual OCR & document parsing. 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-30B-A3B-Instruct", 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=4096, temperature=0.7, top_p=0.9, stream=True, presence_penalty=0 ) 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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