Zhipu (GLM) / glm-4.6

GLM-4.6

GLM-4.6 is a long-context model from Zhipu (GLM), suited for Candidate chat route through LiteLLM.

Chat & customer supportLong documentsAutomation & agents

Context

200K

tokens

Input

$0.174

/ 1M tokens

Output

$0.521

/ 1M tokens

Quality

#107

Elo 1082

Overview

What this model is good for

GLM-4.6 is a long-context model from Zhipu (GLM), suited for Candidate chat route through LiteLLM.

Model capabilities

Tool calling

Can call tools or functions, so product flows can connect model output to backend actions.

Streaming

Supports streamed responses for chat, assistants, and interfaces that need visible incremental output.

Model maker

Model maker and access

This section shows the model maker, SeaLink model ID, protocol, and pricing information.

Zhipu (GLM)

Called through SeaLink's unified account, balance, and OpenAI-compatible API.

Protocol

OpenAI-compatible Chat Completions

Base URL: https://test.sealink.io/v1

Pricing

Pricing and cost sense

Prices come from the current model catalog. Simple estimates help users judge whether the model fits production volume.

Input$0.174/ 1M tokens

Output$0.521/ 1M tokens

Light production run

100K input + 25K output

$0.030

Higher-volume run

1M input + 250K output

$0.304

Actual billing follows usage logs and billing records; caching and media pricing depend on the endpoint.

API

Copy into your code

The model page should make it clear which model to copy, which base URL to use, and where to get an API Key.

model

glm-4.6

base_url

https://test.sealink.io/v1

Auth

Bearer $SEALINK_API_KEY

cURL

curl https://test.sealink.io/v1/chat/completions \
  -H "Authorization: Bearer $SEALINK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-4.6",
    "messages": [{"role": "user", "content": "Hello."}]
  }'

Python (OpenAI SDK)

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

resp = client.chat.completions.create(
    model="glm-4.6",
    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://test.sealink.io/v1",
  apiKey: process.env.SEALINK_API_KEY,
});

const resp = await client.chat.completions.create({
  model: "glm-4.6",
  messages: [{ role: "user", content: "Hello." }],
});
console.log(resp.choices[0].message.content);