AI model comparison

GLM 4.5V vs GLM 4.5 Air

Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.

GLM-4.5V is a vision-language foundation model for multimodal agent applications.

Input / 1M
$0.60
Output / 1M
$1.80
Context
66K

GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications.

Input / 1M
$0.13
Output / 1M
$0.85
Context
131K

At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

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GLM 4.5 Air

3.1x cheaper for a typical chat

Higher intelligence score

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GLM 4.5 Air

11.1 vs 7.6 on Artificial Analysis

Larger context window

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GLM 4.5 Air

131K vs 66K tokens

Newer release

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GLM 4.5V

Released August 11, 2025

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

z-ai logoGLM 4.5V7.6
z-ai logoGLM 4.5 Air11.1

Coding index

z-ai logoGLM 4.5VNot available
z-ai logoGLM 4.5 AirNot available

Agentic index

z-ai logoGLM 4.5VNot available
z-ai logoGLM 4.5 AirNot available

Pricing

GLM 4.5V vs GLM 4.5 Air API pricing

Per-token API rates. Cheaper option highlighted.

Metricz-ai logoGLM 4.5Vz-ai logoGLM 4.5 Air
Input tokensPer 1M tokens$0.60$0.13
Output tokensPer 1M tokens$1.80$0.85
Cached input (read)Per 1M tokens$0.11$0.03
Cache writePer 1M tokensNot availableNot available

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

z-ai logoGLM 4.5V$2.10
z-ai logoGLM 4.5 Air$0.69

Coding task

30K in, 4K out

z-ai logoGLM 4.5V$25.20$10.50 cached
z-ai logoGLM 4.5 Air$7.30$4.15 cached

Long document summary

150K in, 2K out

z-ai logoGLM 4.5V$93.60$20.10 cached
z-ai logoGLM 4.5 Air$21.20$5.45 cached

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metricz-ai logoGLM 4.5Vz-ai logoGLM 4.5 Air
Context window66K tokens131K tokens
Max output16K tokens98K tokens
Input typesImage, TextText
Output typesTextText
Reasoning effort levelsNot availableNot available
Default reasoning effortNot availableNot available
Release dateAugust 11, 2025July 25, 2025

Features

Supported features

API features available for each model.

Metricz-ai logoGLM 4.5Vz-ai logoGLM 4.5 Air
Tool callingSupportedSupported
Structured outputsNot supportedNot supported
JSON modeSupportedNot supported
ReasoningSupportedSupported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

GLM 4.5 Air is 3.1x cheaper for a typical chat. GLM 4.5 Air scores higher on the Artificial Analysis Intelligence Index (11.1 vs 7.6). GLM 4.5 Air has the larger context window (131K vs 66K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is GLM 4.5V or GLM 4.5 Air cheaper?

GLM 4.5 Air is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 4.5 Air costs $0.13 per 1M input tokens and $0.85 per 1M output tokens, while GLM 4.5V costs $0.60 per 1M input tokens and $1.80 per 1M output tokens.

Which has a bigger context window, GLM 4.5V or GLM 4.5 Air?

GLM 4.5 Air supports up to 131K tokens of context, compared with 66K for GLM 4.5V.

Is GLM 4.5V smarter than GLM 4.5 Air?

On the Artificial Analysis Intelligence Index, GLM 4.5V scores 7.6 and GLM 4.5 Air scores 11.1, putting GLM 4.5 Air ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use GLM 4.5V and GLM 4.5 Air at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 4.5V and GLM 4.5 Air answer side by side and keep the better response.

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Why choose? Ask both.

Send one prompt to GLM 4.5V and GLM 4.5 Air at the same time. Compare the answers side by side and keep the best one.