Zhipu (GLM) / glm-5.3
GLM 5.3 stands out for GLM coding and agent model and 1M-token context window. It is best suited to Chinese coding and long-context agent workflows and large codebase analysis.
Context
1M
token
Input
$1.26
/ 1M tokens
Output
$3.96
/ 1M tokens
Quality
—
No score
Overview
GLM 5.3 stands out for GLM coding and agent model and 1M-token context window. It is best suited to Chinese coding and long-context agent workflows and large codebase analysis.
Streaming
Supports streamed responses for chat, assistants, and interfaces that need visible incremental output.
Tool calling
Can call tools or functions, so product flows can connect model output to backend actions.
Reasoning
Better suited for multi-step analysis, planning, and tasks that need deliberate reasoning.
Prompt cache
Supports prompt caching patterns for repeated context and longer production conversations.
Structured output
Can return machine-readable structures for extraction, automation, and application logic.
Model maker
Zhipu (GLM)
Called through SeaLink's unified account, balance, and OpenAI-compatible API.
Protocol
OpenAI-compatible Chat Completions
Base URL: https://api.sealink.io/v1
Pricing
Light production run
100K input + 25K output
$0.225
Higher-volume run
1M input + 250K output
$2.25
The final charge follows generated usage and the applicable selector, such as resolution, duration, input type, or provider unit.
API
model
glm-5.3base_url
https://api.sealink.io/v1Auth
Bearer $SEALINK_API_KEYcurl https://api.sealink.io/v1/chat/completions \-H "Authorization: Bearer $SEALINK_API_KEY" \-H "Content-Type: application/json" \-d '{"model": "glm-5.3","messages": [{"role": "user", "content": "Hello."}]}'
from openai import OpenAIclient = OpenAI(base_url="https://api.sealink.io/v1", api_key="<your-sealink-key>")resp = client.chat.completions.create(model="glm-5.3",messages=[{"role": "user", "content": "Hello."}],)print(resp.choices[0].message.content)
import OpenAI from "openai";const client = new OpenAI({baseURL: "https://api.sealink.io/v1",apiKey: process.env.SEALINK_API_KEY,});const resp = await client.chat.completions.create({model: "glm-5.3",messages: [{ role: "user", content: "Hello." }],});console.log(resp.choices[0].message.content);