Glm 5.3

Name: Glm 5.3 API
Brand: 智谱
SKU: glm-5.3

silvamux/glm-5.3

支持模态

text

输入价格$1.4 / 1M tokensper 1M tokens

输出价格$4.4 / 1M tokensper 1M tokens

价格

Tune 与 Pro 采用相同的价格。

输入上下文	输入	输出	缓存读取	缓存写入
-	$1.4 / 1M tokens	$4.4 / 1M tokens	$0.26 / 1M tokens	$1.18 / 1M tokens

模型能力

评测数据暂未可用

服务表现

Glm 5.3

glm-5.3

过去 24 小时 · 194,970 次请求

首 Token 等待 · TTFT · P50: 1822ms
输出速度 · TPS · P50: 33tok/s
完整响应 · E2E · P50: 5.43s
请求成功率: 99.72%

24 小时可用性

24 小时前12 小时前现在

Glm 5.3 的示例代码和 API

Proglm-5.3

/api/v0/chat/completions/api/v1/chat/completions/api/anthropic/v1/messages

统一入口OpenAIAnthropic

curl https://silvamux.io/api/v1/chat/completions \
  -H "Authorization: Bearer 你的API密钥" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3",
    "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="glm-5.3",
    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\":\"glm-5.3\",\"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: 'glm-5.3',
  messages: [{ role: 'user', content: '你好，请介绍一下自己' }],
})

console.log(response.choices[0].message.content)