GLM-5.2 API
New200K context · Released Jun 30, 2026 · By Z.ai · MIT
GLM-5.2 costs $0.82 per million input tokens and $2.55 per million output tokens, against an official rate of $1.4 and $4.4 — 42% below official pricing. It is a Z.ai model under the MIT licence, with a 200K context window, callable through an OpenAI-compatible endpoint with the model id `z-ai/glm-5.2`.
Input
$0.82/M
$1.40/M
Output
$2.55/M
$4.40/M
Savings
42%
off official
- No markup
- OpenAI SDK compatible
- No minimum spend
- MIT
The strongest all-rounder in the catalog for the money. Genuinely competitive with closed frontier models on coding and tool use, under a plain MIT license.
Copy this and go
The model id is already filled in. Nothing in this snippet needs editing except your key.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://router.xark.io/api/v1" # ← the only line that changes
)
response = client.chat.completions.create(
model="z-ai/glm-5.2",
messages=[{"role": "user", "content": "Hello"}]
)
GLM-5.2 pricing across providers
Rates as published by each provider. We update these when they change; if you spot one that's stale, tell us and we'll fix it.
| Provider | Input | Output |
|---|---|---|
| AI Token Router | $0.82/M | $2.55/M |
| Official (Z.ai) | $1.40/M | $4.40/M |
| OpenRouter | $1.36/M | $4.27/M |
| DeepInfra | $0.95/M | $3.10/M |
| Together AI | $1.30/M | $4.10/M |
Cached input on GLM-5.2 is billed at $0.16/M — roughly 80% below the standard input rate. For agent loops with a large fixed system prompt this is usually the number that matters most.
What it's good at
- General-purpose production workloads
- Structured output and function calling at scale
- Bilingual EN/ZH applications