qwen/qwen3-30b-a3b-instruct-2507
262,144 context · $0.09/M input tokens · $0.30/M output tokens
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
定价
按量付费
无需预付费用，仅按实际使用量付费
试用模型
API 使用
使用以下代码示例接入我们的 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/qwen3-30b-a3b-instruct-2507",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)模型介绍
Qwen qwen3-30b-a3b-instruct-2507
qwen qwen3-30b-a3b-instruct-2507
Why It Looks Great
- Large Language Model architecture for efficient processing
- 262144 context window for long document handling
- Competitive pricing at $0.1/$0.4 per million tokens
Key Features
- Context Window: 262144 tokens
- Max Output: 262144 tokens
- Vision: Supported
- Function Calling: Supported
Specifications
| Specification | Value |
|---|---|
| Provider | Qwen |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 262144 tokens |
| Max Output | 262144 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
Pricing
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.1 |
| Output | $0.4 |
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/qwen3-30b-a3b-instruct-2507
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/qwen3-30b-a3b-instruct-2507",
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/qwen3-30b-a3b-instruct-2507",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: qwen/qwen3-30b-a3b-instruct-2507
- Provider: Qwen
信息
支持功能
API 访问指南
Qwen3 30b A3b Instruct 2507 API
qwen/qwen3-30b-a3b-instruct-2507
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
输入
$0.09 /M
输出
$0.3 /M
上下文
262K
最大输出
262K
工具调用
支持
在 WaveSpeedAI 试用 Qwen3 30b A3b Instruct 2507
通过我们的统一 API 接入 Qwen3 30b A3b Instruct 2507 — 兼容 OpenAI、无冷启动、透明计费。
关于 Qwen3 30b A3b Instruct 2507 的常见问题
Qwen3 30b A3b Instruct 2507 API 多少钱?+
WaveSpeedAI 定价:输入每百万 token $0.09,输出每百万 token $0.30。Prompt 缓存和批处理单独计费,可显著降低长上下文、高重复任务的实际成本。
Qwen3 30b A3b Instruct 2507 的上下文窗口是多大?+
Qwen3 30b A3b Instruct 2507 单次请求最多支持 262K 上下文 token,输出最多 262K token。
Qwen3 30b A3b Instruct 2507 是否兼容 OpenAI?+
是的。WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容端点提供 Qwen3 30b A3b Instruct 2507。把官方 OpenAI SDK 的 base URL 指向该地址,使用 WaveSpeedAI 的 API Key 即可,无需任何其他代码改动。
如何开始使用 Qwen3 30b A3b Instruct 2507?+
登录 WaveSpeedAI,在 Access Keys 中生成 API Key,使用上方显示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 发送请求。新账户可获得免费额度,用于试用 Qwen3 30b A3b Instruct 2507。