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Z.ai · Open weights

GLM 4.5 Air

Added Apr 15, 2025Open weights

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Use in the app

GLM-4.5-Air is a 106B total / 12B active parameter model designed to unify frontier reasoning, coding, and agentic capabilities. On the SWE-bench Verified benchmark, it delivers the best performance at its scale with a competitive performance-to-cost ratio.

  • Tools
  • Structured output
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.13
Output
$0.85
Cache read
$0.025

Reference prices as published by the model provider. API example

Specifications

Context window
128K
Max output
98.3K
Average output (7 days)
59 tokens
Longer than 5% of 465 models

Side by side

GLM 4.5 Air compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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GLM 4.5 AirZ.aiThis modelApex Flash 1Z.aiRemove
ProviderZ.aiZ.ai
Discovery tierOpen weightsOpen weights
AddedApr 15, 2025Oct 5, 2026
Limits
Context window128K1.05MBest
Max output98.3KBest32.77K
Average output59 tokens672 tokens
Pricing, USD per 1M tokens
Input$0.13Best$0.15
Output$0.85$0.50Best
Cache read$0.025Best$0.075
Performance
Throughput89.9 tok/sBest14.8 tok/s
Time to first token1.6 sBest5.6 s
Request success (24h)100.0%Best94.6%
Benchmark indexes
Intelligence Index11.1—
Math Index80.7—
Capabilities
ReasoningNoYes
ToolsYesYes
VisionNoYes
Structured outputYesNo
Reasoning effort—low, high, max

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • GLM 4.5 Air
  • Apex Flash 1

Intelligence Index

  • GLM 4.5 Air11.1
  • Apex Flash 1—

GLM 4.5 Air: Better than 23% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • GLM 4.5 Air: 80.7
    • Apex Flash 1: —

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 4.5 Air: 46.7%
    • Apex Flash 1: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 4.5 Air: 7.0%
    • Apex Flash 1: —

  • GPQA Diamond

    Graduate-level science questions

    • GLM 4.5 Air: 73.3%
    • Apex Flash 1: —

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GLM 4.5 Air: 81.5%
    • Apex Flash 1: —

  • IFBench

    Following precise output instructions

    • GLM 4.5 Air: 37.6%
    • Apex Flash 1: —

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GLM 4.5 Air: 68.4%
    • Apex Flash 1: —

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GLM 4.5 Air: 80.7%
    • Apex Flash 1: —

  • AIME

    Competition mathematics

    • GLM 4.5 Air: 67.3%
    • Apex Flash 1: —

  • MATH-500

    Competition math problems

    • GLM 4.5 Air: 96.5%
    • Apex Flash 1: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 4.5 Air: 20.5%
    • Apex Flash 1: —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 4.5 Air: 46.5%
    • Apex Flash 1: —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 4.5 Air: 46.7%
    • Apex Flash 1: —

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Throughput
89.9 tok/s
Faster than 57% of 251 models
Time to first token
1.6 s
Quicker than 85% of 251 models
Prompt cache hits
40.6%
About $0.0873 per 1M input tokens with caching
Request success (24h)
100.0%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 100.0%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-ai/GLM-4.5-Air",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="z-ai/GLM-4.5-Air",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Z.ai

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