Zhipu AI

GLM 4.5 Air

Name: GLM 4.5 Air
Brand: Zhipu AI
Price: 0.176 USD
Availability: InStock

GLM 4.5 Air is a fast, low-cost mixture-of-experts model built for high-throughput agent workflows and long-context text processing. Reach for it when you need reliable tool calling and reasoning at scale without premium token costs.

Modalities

Text → Text

Input

$0.176 /1M

Output

$1.148 /1M

Cached input

$0.0176 /1M90% off

Context

131K

Speed

fast

Performance

Live production data from real requests on Kyma — not synthetic benchmarks.

Rank

#18

of 87 active models

Tokens served

14.8M

all-time

Success rate

100%

last 7 days

Median throughput44 tok/s

Total requests758

Platform share0.6%

Tokens · last 15 daysJul 19 → Aug 2

Pricing

Pay per token. Cached input is billed at 10% of the input rate.

$0.176 /1M input$1.148 /1M output

Hobby10 req/day · 2K in / 500 out

~$0.28/mo

Production1,000 req/day · 2K in / 500 out

~$27.78/mo

Scale20,000 req/day · 2K in / 500 out

~$556/mo

+ Estimate your workload

Requests / day1,000

Input tokens / request2,000

Output tokens / request500

Cache hit rate30%

Estimated monthly cost

$24.93

$0.8310 / day on GLM 4.5 Air

Same workload on:

GLM 5.2$162+551%

GLM 5.1$203+712%

Estimates use list pricing with cached input billed at the 90%-discount rate. Actual bills depend on real token counts — every response includes its exact cost.

When to use GLM 4.5 Air

Updated 2026-07-31

Where this model earns its cost — and where it doesn't.

Created by Zhipu, GLM 4.5 Air is a mixture-of-experts architecture with 106B total parameters and 12B active parameters per forward pass. It handles text-only inputs and outputs, supports tool calling, native reasoning, and structured JSON outputs, and operates in the fast speed tier.

On Kyma, the model accepts up to 131,072 context tokens and generates a maximum of 8,192 output tokens. Every request benefits from automatic failover, and responses include exact token costs in the usage.cost field alongside an X-Kyma-Model header confirming the active routing path.

Prompt caching is fully supported, billing repeated system prefixes at 10% of the standard input rate. The model does not support vision or multimodal inputs, and the 8,192 output limit restricts it from generating extremely long documents in a single turn.

High-Volume Agent Orchestration

Run concurrent tool-calling loops where low latency and cheap tokens matter most.

Long Context Text Analysis

Process and summarize large documents or conversation histories within a 131k token window.

Structured Data Extraction

Parse unstructured text into strict JSON formats using built-in structured output support.

Fast Conversational Routing

Handle high-throughput chat workloads that prioritize speed and cost over peak reasoning depth.

Not ideal for: Do not use this model for tasks requiring image understanding, multimodal inputs, or single-turn outputs exceeding 8,192 tokens.

How it compares

Against the peers people actually weigh it against.

Spec	GLM 4.5 Air	GLM 5.2	GLM 5.1
Input /1M	$0.176	$1.459	$1.89
Output /1M	$1.148	$4.984	$5.94
Context	131K	1M	203K
Tools	Yes	Yes	Yes
Reasoning	Yes	Yes	Yes
Speed	fast	medium	medium

Quick start

Up and running in under two minutes.

1
Create an API key
Sign up and grab a key from the dashboard — $0.50 free credit, no card required.
Get API key →

Make your first request

Drop in your key and send a chat completion — fully OpenAI-compatible.

curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-4.5-air",
    "messages": [
      {"role": "user", "content": "Explain prompt caching in one paragraph."}
    ]
  }'

Stream responses

Add "stream": true to receive tokens as they arrive.

curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-4.5-air",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

FAQ

Common questions about this model.

What is the context window of GLM 4.5 Air?

GLM 4.5 Air has a 131K-token context window — roughly 193 pages of text in a single request.

How much does the GLM 4.5 Air API cost?

$0.176 per 1M input tokens and $1.148 per 1M output tokens, with cached input at $0.0176/1M — a 90% discount on repeated prompt prefixes. No subscription; you pay only for what you use.

Does GLM 4.5 Air support function calling?

Yes — GLM 4.5 Air supports tool/function calling and structured outputs (JSON mode), so it works with agent frameworks out of the box.

How do I use GLM 4.5 Air?

Kyma is OpenAI-compatible: point your SDK's base URL at https://kymaapi.com/v1, use your Kyma API key, and set the model to glm-4.5-air. Signing up is free and includes $0.50 of credit — no card required.

Does this model support image inputs or vision tasks?

No, GLM 4.5 Air is strictly text-only. Switch to a multimodal model if your pipeline requires processing images or video.

How does prompt caching work on Kyma?

Repeated prompt prefixes are automatically cached and billed at 10% of the standard input rate, which significantly reduces costs for repetitive agent instructions.

What happens if the serving path degrades during a request?

Kyma automatically reroutes the request to a healthy provider without requiring you to implement retry logic in your code.

Start with $0.50 free credit — no card required.Create account →

More models by Zhipu AI

Model	Context	Input	Output
GLM 5.2	1M	$1.459	$4.984
GLM 5.1	203K	$1.89	$5.94
GLM 4.7 Flash	203K	$0.081	$0.54