GLM-4.5 Air

GLM-4.5 Air is the lightweight variant of Z.AI's GLM-4.5 family, also purpose-built for agent-centric applications.

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input · usd / 1m tok

$0.20

output · usd / 1m tok

$1.10

context window

128ktokens

modalities · in → out

pricing

base api ratesusd per 1m tokens

input: $0.20
output: $1.10
cache read: $0.03

providers

Z.AI hosts GLM-4.5 Air. Impossibl routes your request intelligently and handles failover automatically when a provider is down.

Z.AI

specifications

takes text in, gives text outzai/glm-4.5-air

creatorZ.AI
model typeText generation
context window128,000 tokens
maximum outputnot published
input
takes text in, gives text out
outputtext
tool callingnot verified
releasedjul 28, 2025
endpoint/v1/chat/completions

unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports. see the model documentation for integration details.

try it · your prompt, this model, live

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="zai/glm-4.5-air",
    input="▌",
)
print(resp.output_text)

edit the prompt, then run

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="zai/glm-4.5-air",
    input="▌",
)
print(resp.output_text)

edit the prompt, then run

benchmarks

intelligence index

11.1#96 of 108 models on the gateway

omniscience-61.5#84 of 84
gpqa73.3%#65 of 80
humanity’s last exam7.0%#73 of 87

AIME 202580.7%
GPQA73.3%
LiveCodeBench68.4%
AA-LCR46.7%
Tau246.5%
IFBench37.6%
Terminal-Bench Hard20.5%
Humanity’s Last Exam7.0%
CritPt0.0%

Intelligence Index11.09
Omniscience Index-61.53
intelligence index (API)11.1

view source ↗all source data and breakdowns (json) ↗

each configuration is listed separately; these evaluations describe the tested model configuration, and performance and costs can differ on impossibl. unmeasured scores are omitted and api values keep their source units. last checked 2026-10-14.

compare GLM-4.5 Air with other models

frontier labs and open weights, best-ranked firstusd / 1m tok · in / out

anthropic/claude-opus-5-5$4.00 / $20.00compare →
openai/gpt-6-astra$10.00 / $50.00compare →
meta/muse-wonder$4.00 / $20.00compare →
xiaomi/mimo-v2.6-pro$0.435 / $0.87compare →

impossibl models --all →

frequently asked questions

What is GLM-4.5 Air?

GLM-4.5 Air is the lightweight variant of Z.AI's GLM-4.5 family, also purpose-built for agent-centric applications. It keeps the mixture-of-experts architecture with a more compact parameter budget, offering a cheaper, faster option for reasoning, coding, and tool-use tasks.

How much does GLM-4.5 Air cost?

GLM-4.5 Air costs $0.20 per million input tokens and $1.10 per million output tokens through the Impossibl API. Cache reads cost $0.03 per million tokens. All rates are in USD.

view the pricing table ↑

What is the context length of GLM-4.5 Air?

GLM-4.5 Air has a 128,000-token context window through the Impossibl API.

What inputs and outputs does GLM-4.5 Air support?

GLM-4.5 Air accepts text as input. GLM-4.5 Air returns text.

How do I use GLM-4.5 Air through an API?

GLM-4.5 Air is available through the Impossibl API. Use zai/glm-4.5-air as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.

follow the api quickstart →

When was GLM-4.5 Air released?

Z.AI released GLM-4.5 Air on July 28, 2025.

Creator release announcement ↗

this page describes GLM-4.5 Air as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes. model descriptions and release dates, where available, use the creator sources linked under the answers above.

view the source catalog ↗model as markdown ↗report a correction →