GLM-5

Zhipu (GLM)

Chat & customer supportCode assistantLong documentsAutomation & agents

model: glm-5

Try itDemo

Advanced parameters

System prompt

Temperature: 0.70

Max tokens: 512

⌘/Ctrl + Enter to send

Demo mode: doesn't call the upstream model. After signup with your key, the same request hits the real model.

Use cases

Complex reasoning for enterprise
Chinese document deep analysis
Tool-using agent pipelines

Code samples

cURL

curl https://api.sealink.asia/v1/chat/completions \
  -H "Authorization: Bearer $SEALINK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5",
    "messages": [{"role": "user", "content": "Hello."}]
  }'

Python (OpenAI SDK)

from openai import OpenAI
client = OpenAI(base_url="https://api.sealink.asia/v1", api_key="<your-sealink-key>")

resp = client.chat.completions.create(
    model="glm-5",
    messages=[{"role": "user", "content": "Hello."}],
)
print(resp.choices[0].message.content)

Node.js (OpenAI SDK)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.sealink.asia/v1",
  apiKey: process.env.SEALINK_API_KEY,
});

const resp = await client.chat.completions.create({
  model: "glm-5",
  messages: [{ role: "user", content: "Hello." }],
});
console.log(resp.choices[0].message.content);

Once you sign in, your base_url and API key will be inlined automatically.

Performance

Last 30 days from SeaLink's own probes; launch values use model-tier estimates until live probe history is available.

TTFT P50

528ms

TTFT P95

1067ms

Tokens/sec

30d uptime

99.89%

Capabilities & limits

Context length: 200K tokens
Capabilities: tools · streaming
Status: operational