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Z.ai: GLM 4.5 Air

z-ai/glm-4.5-air

↓ runs free on your own hardware⚙ tool calling

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...

specs & pricing
Type
text
Provider
z-ai
Model ID
z-ai/glm-4.5-air
Capabilities
tools, reasoning
Context window
131K tokens
Self-hostable
Yes — runs on your own GPU
Input price
$0.14 / 1M tokens
Output price
$0.94 / 1M tokens

Cloud price is billed from prepaid credits when a request fails over to the cloud. Open-weight models run free on GPUs you own — the gateway routes to your nodes first.

What it costs to run

cloud · 1M in + 1M out

$1.08

$0.14 for a million input tokens plus $0.94 for a million output tokens, billed from credits only when a request fails over to the cloud.

your hardware

$0 / token

Served from a workstation or on-prem server you own, there is no per-token fee — the marginal cost is power.

Run it on your own hardware

Estimated GPU memory for Z.ai: GLM 4.5 Air (110B parameters), including the KV cache for a 8,192-token context.

Q4_K_M
~64.9 GBfits a 80 GB card
Q8_0
~111.2 GBmulti-GPU or large unified memory
FP16 / BF16
~208.0 GBmulti-GPU or large unified memory

Install the agent on the machine and it dials out to the gateway over a single WebSocket — no port forwarding or inbound firewall rules. Requests for this model go to your node first and fail over to the cloud only when it can't serve.

/// initialize

Call Z.ai: GLM 4.5 Air through one OpenAI-compatible endpoint.

Serve it from hardware you own, with cloud failover when your nodes are busy or offline.

no credit card · 2 nodes free · openai-compatible

Frequently asked questions

What is the context window of Z.ai: GLM 4.5 Air?
Z.ai: GLM 4.5 Air accepts up to 131,072 tokens (131K) of context per request.
How much does Z.ai: GLM 4.5 Air cost per million tokens?
Through Wide Area Intelligence, Z.ai: GLM 4.5 Air costs $0.14 per 1M input tokens and $0.94 per 1M output tokens when served from the cloud, billed from prepaid credits. A workload of 1M input plus 1M output tokens costs $1.08.
Can I run Z.ai: GLM 4.5 Air on my own hardware?
Yes — Z.ai: GLM 4.5 Air is an open-weight model you can run on a workstation or on-prem server you own. At Q4_K_M it needs roughly 64.9 GB of GPU memory with an 8,192-token context — it fits a single 80 GB card. Wide Area Intelligence routes requests to your own nodes first and fails over to the cloud only when they can't serve.

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