Z.ai: GLM 4.5 Air

Public pricingIntelligence 76/100Medium memory深い思考ツール利用

Z.ai: GLM 4.5 Air はテキストモデルで、エージェント業務とツール利用に向いています。安定したツール利用とエージェント動作、131K tokensのコンテキスト、低コストの特性を組み合わせ、agent workflows, tool use, and orchestration で安定した動作を支えます。品質・速度・コストが重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

Input

$0.13/1M

Output

$0.85/1M

Cached

$0.03/1M

Batch

$0.10/1M

Calculate your GLM 4.5 Air bill.

Set your workload — see cost at your exact volume.

What would GLM 4.5 Air cost you?

Adjust the workload to see your monthly bill.

Conversations per month50,000

1,00010,00050,000250,0001M10M

Input length

Output length

Repeated questions?

Replies can wait a few hours (batch discount)

Technical specifications

GLM 4.5 Air at a glance.

Memory

131,072

tokens

Max reply

98,304

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Jul 2025

Training cutoff

Apr 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

humanitys_last_exam
8.12
swe_bench_verified
57.6

What it can do

Capabilities & limits.

Understands images
Deep step-by-step thinking
Uses tools / calls functions
Strict JSON output
Streams replies
Fine-tunable on your data

When to pick GLM 4.5 Air

Multi-step reasoning, research agents, or hard math.
Agentic workflows that call tools or APIs.
High-volume workloads where unit cost matters.

When to look elsewhere

Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

GLM 4.5 Air — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, GLM 4.5 Air costs roughly $44 per month. Input is $0.13 /1M tokens and output is $0.85 /1M tokens.

GLM 4.5 Air has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.

Beyond text generation, GLM 4.5 Air supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.

GLM 4.5 Air was released in July 2025, with training data cut off around April 2025.

Models in a similar class include GLM 4 32B, GLM 4.7 Flash, GLM 4.6V. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare GLM 4.5 Air against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

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