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Z.ai · Open weights

GLM 4.5 Air (Thinking)

Added Jan 1, 2024Open weights

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Use in the app

GLM-4.5-Air with thinking mode enabled for enhanced reasoning capabilities. Shows step-by-step thought process.

  • Reasoning
  • 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)
973 tokens
Longer than 70% of 465 models

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Public evaluations

Benchmarks

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

Intelligence Index

11.1

Better than 23% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    80.7

    Composite of the math evaluations

    Better than 72% of 118 scored models

Document reasoning

  • AA-LCRv1.1

    46.7%

    Reasoning across long documents

    Better than 25% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    7.0%

    Expert-level questions across academic fields

    Better than 24% of 323 scored models

  • GPQA Diamond

    73.3%

    Graduate-level science questions

    Better than 31% of 291 scored models

  • MMLU-Pro

    81.5%

    Multi-subject knowledge and reasoning

    Better than 60% of 132 scored models

  • IFBench

    37.6%

    Following precise output instructions

    Better than 20% of 215 scored models

Coding

  • LiveCodeBench

    68.4%

    Recent competitive programming problems

    Better than 65% of 129 scored models

Math

  • AIME 2025

    80.7%

    Competition mathematics, 2025 problems

    Better than 72% of 118 scored models

  • AIME

    67.3%

    Competition mathematics

    Better than 65% of 72 scored models

  • MATH-500

    96.5%

    Competition math problems

    Better than 65% of 73 scored models

Legacy evaluations

  • Terminal-Bench Hard

    20.5%

    Earlier terminal task suite

    Better than 39% of 212 scored models

  • τ²-Bench Telecom

    46.5%

    Tool use in a customer-support simulation

    Better than 37% of 214 scored models

  • AA-LCR (unversioned)

    46.7%

    Long-context reasoning, earlier grading

    Better than 25% of 309 scored models

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.

Prompt cache hits
55.3%
About $0.072 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:thinking",
    "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:thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Z.ai

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