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Qwen3.5 Flash
silvamux/
qwen3.5-flash价格
以单次请求的输入上下文长度判定档位，Tune 与 Pro 采用相同的阶梯价格。
| 输入上下文 | 输入 | 输出 | 缓存读取 | 缓存写入 |
|---|---|---|---|---|
| ≤ 128K tokens | $0.029 | $0.287 | $0.003 | $0.036 |
| ≤ 256K tokens | $0.12 | $1.15 | $0.012 | $0.14 |
| ≤ 1000K tokens | $0.17 | $1.7 | $0.017 | $0.215 |
模型能力
评测数据暂未可用
服务表现
Qwen3.5 Flash
qwen3.5-flash过去 24 小时 · 154,136 次请求
- 首 Token 等待 · TTFT · P50
- 1684ms P95 2190 ms
- 输出速度 · TPS · P50
- 62tok/s P95 100 tok/s
- 完整响应 · E2E · P50
- 9.55s P95 9.91 s
- 请求成功率
- 98.61% 151,995 次正常完成
24 小时可用性
24 小时前12 小时前现在
Qwen3.5 Flash 的示例代码和 API
Pro
qwen3.5-flash/api/v0/chat/completions/api/v1/chat/completionscurl https://silvamux.io/api/v1/chat/completions \
-H "Authorization: Bearer 你的API密钥" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.5-flash",
"messages": [{"role": "user", "content": "你好，请介绍一下自己"}]
}'# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://silvamux.io/api/v1",
api_key="你的API密钥",
)
response = client.chat.completions.create(
model="qwen3.5-flash",
messages=[
{"role": "user", "content": "你好，请介绍一下自己"}
],
)
print(response.choices[0].message.content)// Gradle: implementation(__HL_SLOT_0__)
import okhttp3.*;
OkHttpClient client = new OkHttpClient();
MediaType json = MediaType.get("application/json");
String payload = "{\"model\":\"qwen3.5-flash\",\"messages\":[{\"role\":\"user\",\"content\":\"你好，请介绍一下自己\"}]}";
Request request = new Request.Builder()
.url("https://silvamux.io/api/v1/chat/completions")
.header("Authorization", "Bearer 你的API密钥")
.post(RequestBody.create(payload, json))
.build();
try (Response response = client.newCall(request).execute()) {
System.out.println(response.body().string());
}// npm install openai
import OpenAI from 'openai'
const client = new OpenAI({
baseURL: 'https://silvamux.io/api/v1',
apiKey: '你的API密钥',
})
const response = await client.chat.completions.create({
model: 'qwen3.5-flash',
messages: [{ role: 'user', content: '你好，请介绍一下自己' }],
})
console.log(response.choices[0].message.content)