Qwen3 VL 30b A3b Thinking | Qwen LLM API

Name: Qwen3 Vl 30b A3b Thinking API
Brand: qwen
Price: 0.2 USD
Availability: InStock

API 使用

使用以下程式碼範例整合我們的 API：

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="qwen/qwen3-vl-30b-a3b-thinking",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

模型介紹

Qwen qwen3-vl-30b-a3b-thinking

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex 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.

Why It Looks Great

Large Language Model architecture for efficient processing
131072 context window for long document handling
Competitive pricing at $0.2/$1.1 per million tokens

Key Features

Context Window: 131072 tokens
Max Output: 32768 tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Qwen
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	131072 tokens
Max Output	32768 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$0.2
Output	$1.1

How to Use

Write your prompt — describe the task, provide context, and specify desired output format.
Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: qwen/qwen3-vl-30b-a3b-thinking

API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="qwen/qwen3-vl-30b-a3b-thinking",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "qwen/qwen3-vl-30b-a3b-thinking",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: qwen/qwen3-vl-30b-a3b-thinking
Provider: Qwen

關於 Qwen3 Vl 30b A3b Thinking 的常見問題

Qwen3 Vl 30b A3b Thinking API 多少錢?+

WaveSpeedAI 定價:輸入每百萬 token $0.20,輸出每百萬 token $1.00。Prompt 快取與批次處理分別計費,可顯著降低長上下文、高重複任務的實際成本。

Qwen3 Vl 30b A3b Thinking 的上下文視窗有多大?+

Qwen3 Vl 30b A3b Thinking 每次請求最多支援 131K 上下文 token,輸出最多 33K token。

Qwen3 Vl 30b A3b Thinking 是否相容 OpenAI?+

是的。WaveSpeedAI 透過 https://llm.wavespeed.ai/v1 的 OpenAI 相容端點提供 Qwen3 Vl 30b A3b Thinking。將官方 OpenAI SDK 的 base URL 指向該位址,使用 WaveSpeedAI 的 API Key 即可,無需其他程式碼變更。

如何開始使用 Qwen3 Vl 30b A3b Thinking?+

登入 WaveSpeedAI,在 Access Keys 建立 API Key,使用上方顯示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 發送請求。新帳號將獲得免費額度,用於試用 Qwen3 Vl 30b A3b Thinking。

定價

試用模型