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GLM 4.5 Air

Zhipu AIOpen-weight

131K context · — params · —

zhipu/glm-4-5-air

GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter...

Official Path Verified Zhipu International (bigmodel.ai) Intl card
Cheapest blended: ¥0.31 / 1M tokens on Zhipu AIGet custom quote

Reachability & verification

Live reachability

Probing…

Target (Zhipu AI): https://open.bigmodel.cn/api/paas/v4

Overseas reference latency (est.)

Singapore 180 ms London 210 ms

Live reachability probe

Measured in real time from the ModelHub gateway egress to this model's API endpoint. Green means reachable right now. Overseas reference latencies are estimates; the live probe is the proof of current reachability.

Official Path Verified by ModelHub

Pricing across providers

1

Prices are shown in each provider's billing currency — ¥ (CNY) for Chinese providers, $ (USD) for overseas gateways.

ProviderInput /1MOutput /1MBlendedCtxp50 latencyAPIVerified
Zhipu AIglm-4.5-air¥0.13¥0.85¥0.31131K OAI119d ago

Works with

CursorClineAiderContinueOpenCodeOpen WebUI

Any OpenAI-compatible client works — point the base URL at the provider endpoint.

Capabilities

Code samplesExample usingZhipu AI— the cheapest hosting for this model as of last verification. Swapbase_urlandmodelto use a different provider from the matrix above.PythoncURLNode.jsCopyfrom openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://open.bigmodel.cn/api/paas/v4", ) response = client.chat.completions.create( model="glm-4.5-air", messages=[{"role": "user", "content": "Hello!"}], ) print(response.choices[0].message.content)code

Code samples

Python
from openai import OpenAI

client = OpenAI(
    base_url="https://open.bigmodel.cn/api/paas/v4",
    api_key="YOUR_API_KEY",
)

resp = client.chat.completions.create(
    model="glm-4.5-air",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)
cURL
curl https://open.bigmodel.cn/api/paas/v4/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-4.5-air",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
Node.js
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://open.bigmodel.cn/api/paas/v4",
  apiKey: "YOUR_API_KEY",
});

const resp = await client.chat.completions.create({
  model: "glm-4.5-air",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(resp.choices[0].message.content);

Technical specs

Context

131K

Max output

98K

Parameters

Release

Training cutoff

License

Similar models

Frequently asked questions

How much does GLM 4.5 Air cost?

The cheapest tracked blended price is ¥0.31 per 1M tokens on Zhipu AI. See the pricing matrix above for input/output splits per provider.

Can I use GLM 4.5 Air from outside China?

Availability depends on the hosting provider. Use our Path Planner on the Zhipu AI page to map a verified official-vs-brokered access path, including payment and KYC constraints.

Is GLM 4.5 Air open source?

Yes — GLM 4.5 Air is open-weight under the — license. You can self-host it or use any listed inference provider.

Is GLM 4.5 Air OpenAI-compatible?

Yes — at least one tracked provider exposes an OpenAI-compatible endpoint, so Cursor, Cline, Aider and similar clients work with just a base-URL change.

What is the maximum context window?

GLM 4.5 Air supports up to 131K tokens of context with a maximum output of 98K tokens.

Need verified access to GLM 4.5 Air?

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