# GLM 4.5 Air

GLM 4.5 Air is a language model from Z.ai with a 128K-token context window. Provider list price is $0.20 per million input tokens and $1.10 per million output; on Allocate you pay $0.21 and $1.18 with the 7% transaction fee. The weights are open under MIT, so you can fine-tune it and own the result.

## Pricing

| | Provider list | On Allocate |
| --- | --- | --- |
| Input, per M tokens | $0.20 | $0.21 |
| Output, per M tokens | $1.10 | $1.18 |
| Cached input, per M tokens | $0.03 | $0.032 |

Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.

## Facts

| Field | Value |
| --- | --- |
| Lab | Z.ai |
| Modality | Language |
| Context window | 128K tokens |
| License | MIT |
| Open weights | Yes |
| Fine-tunable | Yes, on your data |
| Catalog id | z-ai/glm-4.5-air |

## What a real workload costs

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $0.20 + 350 × $1.10 = $625 a month. Billed on Allocate it is $668.75 with the 7% transaction fee.

## Common questions

### How much does GLM 4.5 Air cost per million tokens?

Provider list price is $0.20 per million input tokens and $1.10 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $0.21 in and $1.18 out.

### What context window does GLM 4.5 Air have?

131,072 tokens (128K). At roughly 0.75 words per token, that is about 98k words of English text per request.

### What does cached input cost on GLM 4.5 Air?

$0.03 per million tokens at list ($0.032 billed). Repeated prompt prefixes, such as a stable system prompt or tool definitions, bill at this rate instead of the full input price.

### Can I fine-tune GLM 4.5 Air?

Yes. GLM 4.5 Air is an open-weights model under the MIT license. The license is permissive, so the fine-tuned weights are yours to use commercially. On Allocate the trained weights stay inside your boundary and belong to you.

### How do I call GLM 4.5 Air on Allocate?

Send z-ai/glm-4.5-air in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.

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[HTML page](https://allocate.network/models/z-ai-glm-4-5-air) · [Machine-readable catalog](https://allocate.network/catalog.json)