Home → Pricing → glm-5.3

GLM-5.3 API pricing

glm-5.3

The current GLM-5 release. Same token rates as 5.1, with a slightly lower cache-read rate — which is the line that moves the bill on repetitive agent work.

Price breakdown

Cached input is billed at a fraction of the input rate, so agent tools that resend the same context — Codex, Claude Code, Cline — cost considerably less in practice than the raw token count suggests.

Work out your own cost

Put in the token counts from a typical request. Both columns update as you type.

What a real session costs

A coding session through Codex on this platform used 90,459 tokens across five requests — roughly seventeen minutes of back-and-forth over a codebase. At list price that is $0.178. The customer paid $0.036.

That is real billing data, not an estimate. Heavy context reuse is exactly where the saving compounds: the same work, one fifth of the invoice.

How to call glm-5.3

The API is OpenAI-compatible. Point your base URL at APICLAN and pass the model name — nothing else in your code changes.

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_KEY",
    base_url="https://apiclan.us/v1",
)

resp = client.chat.completions.create(
    model="glm-5.3",
    messages=[{"role": "user", "content": "Hello"}],
)

Other GLM models

Prices above are what you pay, not list price. Cheaper models in the same family often handle routine work at a fraction of the cost — worth testing before defaulting to the largest one.

Start using it

No subscription, no monthly minimum, no sales call. Top up with USDT and spend what you use — 1 USDT gives you 2 credits of API balance.

Pricing verified 2026-10-01 · calibrated against real invoices. List prices change; this page is regenerated automatically from live billing data.

Language: English · 简体中文 · 繁體中文 · 日本語 · 한국어 · Deutsch · Français · Español · Türkçe · Português · Italiano · Bahasa Indonesia · Tiếng Việt · Bahasa Melayu · Polski · Čeština · فارسی · Русский