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GLM 4.5 Air

glm-4.5-air

GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter... Built by Z.ai.

Prices updated

Input price

$0.13

per 1M tokens · Standard

Output price

$0.85

per 1M tokens · Standard

Input limit

131K

tokens

Output limit

98K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF
Compare

GLM 4.5 Air price history

2 price records since 9/25/2026

GLM 4.5 Air cost calculator

Input20M tokens
Output5M tokens

$6.85/month

Standard pricing

    Overview

    What is GLM 4.5 Air?

    GLM 4.5 Air is a text & reasoning model from Z.ai. GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter... Its 131K context window and $0.13 input price make it a candidate for cost-sensitive, high-throughput applications.

    Content workflowsClassification

    Benchmarks

    GLM 4.5 Air benchmarks & speed

    How GLM 4.5 Air scores on standardized evaluations, and where it lands among every model we track.

    11.1

    Intelligence Index

    Better than 29% of 153 models

    77tok/s

    Output speed

    Better than 36% of 119 models

    1141

    DesignArena Elo

    Better than 24% of 81 models

    Reasoning

    GPQA Diamond

    73.3%

    Graduate-level scientific reasoning · top 68%

    HLE

    7.0%

    Humanity's Last Exam · top 70%

    Latency & design

    Time to first token
    2.43s
    DesignArena win rate
    51.4%
    Design battles judged
    17,253

    Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.

    Rates

    GLM 4.5 Air pricing

    Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

    Input · Standard

    $0.13

    Per 1M tokens

    Cached input · Standard

    $0.03

    Per 1M tokens

    Capabilities

    GLM 4.5 Air Tools

    Tools available when using GLM 4.5 Air through supported provider APIs.

    Function calling

    Supported

    Structured outputs

    Not supported

    JSON mode

    Not supported

    Reasoning

    Supported

    Built-in web search

    Not supported

    Log probabilities

    Not supported

    Deterministic seed

    Supported

    Parallel tool calls

    Not supported

    Prompt caching

    Supported

    Where to run it

    GLM 4.5 Air API providers

    3 providers serve GLM 4.5 Air. Prices are per 1M tokens; uptime is the last 24 hours.

    Novitabf16
    Input
    $0.13
    Output
    $0.85
    Cached
    $0.03
    Context
    131K
    Uptime
    99.93%
    SiliconFlowfp8
    Input
    $0.14
    Output
    $0.86
    Cached
    —
    Context
    131K
    Uptime
    99.24%
    Z.AIfp8
    Input
    $0.20
    Output
    $1.10
    Cached
    $0.03
    Context
    131K
    Uptime
    99.74%

    Strengths and limitations

    Strengths

    • Low input cost at $0.13 per million tokens suits high-volume workloads.
    • A 131K context window covers most focused application workflows.
    • Supports text & reasoning workloads in one model.

    Limitations

    • Generated tokens cost 7× more than input tokens, which matters for verbose responses.
    • The 131K context window is smaller than several long-context alternatives.
    • Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

    Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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    Frequently asked questions about GLM 4.5 Air

    GLM 4.5 Air is a text & reasoning model from Z.ai. GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter...