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zai-org/GLM-4.5-Air

The GLM-4.5 series models are foundation models designed for intelligent agents. GLM-4.5 has 355 billion total parameters with 32 billion active parameters, while GLM-4.5-Air adopts a more compact design with 106 billion total parameters and 12 billion active parameters. GLM-4.5 models unify reasoning, coding, and intelligent agent capabilities to meet the complex demands of intelligent agent applications.

🔧Tool calling
Try zai-org/GLM-4.5-AirCompareDocs

Specifications

Context window131K tokens
Max output4K tokens
API typechat
AddedJul 30, 2025
Model IDdeepinfra/zai-org/GLM-4.5-Air
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US
Privacy policyDeepInfra Privacy Policy →

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the DeepInfra Inc. models overview.

Pricing

Input / 1M
$0.20
Output / 1M
$1.10
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0310
1M input + 100K output$0.31
10M input + 1M output$3.10

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to deepinfra/zai-org/GLM-4.5-Air.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="deepinfra/zai-org/GLM-4.5-Air",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

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Qwen/Qwen2.5-72B-Instruct
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Frequently asked questions

How much does zai-org/GLM-4.5-Air cost?
zai-org/GLM-4.5-Air is priced at $0.20 per million input tokens and $1.10 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of zai-org/GLM-4.5-Air?
zai-org/GLM-4.5-Air has a context window of 131K tokens, with a maximum output of 4K tokens per response. That's roughly 175 words of input you can fit in a single prompt.
What can zai-org/GLM-4.5-Air do?
zai-org/GLM-4.5-Air supports tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use zai-org/GLM-4.5-Air with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "deepinfra/zai-org/GLM-4.5-Air". The Quickstart above shows Python, JavaScript and cURL snippets.

Access zai-org/GLM-4.5-Air through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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