GLM 5 Turbo

by Z.ai

Zero data retention
z-ai/glm-5-turbo
Input
$1.68/1M tokens
Output
$5.60/1M tokens
Context
203Ktokens
Max output
131Ktokens
Knows to
-
Released
15 Mar 2026

About

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios.

Pricing

Input$1.68per 1M prompt tokens
Output$5.60per 1M generated tokens, reasoning included
Cached input$0.34per 1M tokens read back from the prompt cache

What a request costs

Typical requestEachPer 1,000
Short chat reply1,500 in · 400 out$0.0048$4.76
Question over a long document40,000 in · 800 out$0.072$71.68
Agent tool step20,000 in · 1,200 out$0.040$40.32

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

Intelligence26.6#100 of 285

Head-to-head rankings

  1. #24SVGModel arenaElo 120554% wins
  2. #29Data vizModel arenaElo 126455% wins
  3. #333DModel arenaElo 124856% wins
  4. #34CodeModel arenaElo 126454% wins
  5. #34UI componentsModel arenaElo 126255% wins
  6. #35WebsitesModel arenaElo 126453% wins
  7. #36ASCII artModel arenaElo 116049% wins
  8. #36Game devModel arenaElo 125053% 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": "z-ai/glm-5-turbo",
    "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="z-ai/glm-5-turbo",
    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: "z-ai/glm-5-turbo",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);

Parameters this model accepts

include_reasoningmax_tokensreasoningresponse_formattemperaturetool_choicetoolstop_ktop_p

API reference → · How API billing works →

Prices are USD at the developer-API rate, as of 16 Oct 2026, rebuilt daily from the providers’ live catalogues. ← All models