QwenChat
Qwen: Qwen3 VL 30B A3B Instruct
qwen/qwen3-vl-30b-a3b-instruct
131KContext Window
33KMax Output
Supported Protocols:max_tokenstemperaturetop_pseedpresence_penaltyresponse_formattoolstool_choice
Online
Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception of real-world/synthetic categories, 2D/3D spatial grounding, and long-form visual comprehension, achieving competitive multimodal benchmark results. For agentic use, it handles multi-image multi-turn instructions, video timeline alignments, GUI automation, and visual coding from sketches to debugged UI. Text performance matches flagship Qwen3 models, suiting document AI, OCR, UI assistance, spatial tasks, and agent research.
Capabilities
👁 Vision🔧 Function CallingText GenerationCode GenerationAnalysis & Reasoningmodels.reasoning
Technical Specs
Input Modality
Text、Image
Output Modality
Text
Arch
—
Default Temperature
0.7
Default Top_P
0.8
Default Top_K
20
Pricing
Pay per use, no monthly feesInput Token< ¥0.001/1K Token
Output Token< ¥0.001/1K Token
Quick Start
from openai import OpenAI
client = OpenAI(
base_url="https://api.uniontoken.ai/v1",
api_key="YOUR_UNIONTOKEN_API_KEY",
)
response = client.chat.completions.create(
model="qwen/qwen3-vl-30b-a3b-instruct",
messages=[
{"role": "user", "content": "Hello!"}
],
)
print(response.choices[0].message.content)FAQ
Qwen
Qwen: Qwen3 VL 30B A3B Instruct
qwen/qwen3-vl-30b-a3b-instruct
In< ¥0.001/1K
Out< ¥0.001/1K
Context Window131K
Max Output33K
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