About
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks.
Pricing
| Input | $1.96 | per 1M prompt tokens |
|---|---|---|
| Output | $6.16 | per 1M generated tokens, reasoning included |
What a request costs
| Typical request | Each | Per 1,000 |
|---|---|---|
| Short chat reply1,500 in · 400 out | $0.0054 | $5.40 |
| Question over a long document40,000 in · 800 out | $0.083 | $83.33 |
| Agent tool step20,000 in · 1,200 out | $0.047 | $46.59 |
At the developer-API rate, before any provider promotion or prompt-cache saving. In the app, the model picker shows what a message costs on your plan before you send it.
Benchmarks
Head-to-head rankings
- #7SVGModel arenaElo 129257% wins
- #8SlidesAgent arenaElo 125551% wins
- #133DModel arenaElo 133359% wins
- #13Game devModel arenaElo 131553% wins
- #14CodeModel arenaElo 130754% wins
- #15UI componentsModel arenaElo 131457% wins
- #15WebsitesModel arenaElo 129854% wins
- #17Mobile appsAgent arenaElo 119152% wins
- #20ASCII artModel arenaElo 121347% wins
- #31Data vizModel arenaElo 126052% wins
Scores from Artificial Analysis; bars are scaled to the best model on our list. Rankings from Design Arena head-to-head votes. Published by OpenRouter alongside its catalogue.
Call it from code
OpenAI-compatible: point any OpenAI SDK at https://api.privateer.pro/v1 and set
model. Keys are created in the app under Settings.
cURL
curl https://api.privateer.pro/v1/chat/completions \
-H "Authorization: Bearer $PRIVATEER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "phala/z-ai/glm-5.3",
"messages": [{ "role": "user", "content": "Hello" }]
}'Python
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.privateer.pro/v1",
api_key=os.environ["PRIVATEER_API_KEY"],
)
reply = client.chat.completions.create(
model="phala/z-ai/glm-5.3",
messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)JavaScript
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.privateer.pro/v1",
apiKey: process.env.PRIVATEER_API_KEY,
});
const reply = await client.chat.completions.create({
model: "phala/z-ai/glm-5.3",
messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);