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Z.ai · Balanced

GLM Z1 AirX

Added Apr 15, 2025

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Use in the app

Fastest reasoning model in China, with up to 200 tokens per second. The stronger version of GLM Z1 Air.

  • Tools
  • Structured output
Input
Text
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$0.70
Output
$0.70

Reference prices as published by the model provider. API example

Specifications

Context window
32K
Max output
16.4K

Side by side

GLM Z1 AirX compared

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

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GLM Z1 AirXZ.aiThis modelGLM 5.3 Flash TEEZ.aiRemove
ProviderZ.aiZ.ai
Discovery tierBalancedOpen weights
AddedApr 15, 2025Aug 28, 2026
Limits
Context window32K1.05MBest
Max output16.38K131.07KBest
Average output—845 tokens
Pricing, USD per 1M tokens
Input$0.70$0.15Best
Output$0.70$0.50Best
Cache read—$0.03
Performance
Throughput—98.1 tok/s
Time to first token—3.8 s
Request success (24h)—99.9%
Benchmark indexes
Intelligence Index—41.8
Coding Index—71.5
Capabilities
ReasoningNoYes
ToolsYesYes
VisionNoYes
Structured outputYesYes
Parallel toolsNoYes
Reasoning effort—low, high, max

Public evaluations

Benchmarks

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

  • GLM Z1 AirX
  • GLM 5.3 Flash TEE

Intelligence Index

  • GLM Z1 AirX—
  • GLM 5.3 Flash TEE41.8
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GLM Z1 AirX: —
    • GLM 5.3 Flash TEE: 71.5

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • GLM Z1 AirX: —
    • GLM 5.3 Flash TEE: 60.4%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • GLM Z1 AirX: —
    • GLM 5.3 Flash TEE: 25.4%

  • Harvey LAB-AAv1.1

    Legal tasks passed in full, with no material hallucination

    • GLM Z1 AirX: —
    • GLM 5.3 Flash TEE: 0.8%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • GLM Z1 AirX: —
    • GLM 5.3 Flash TEE: 1,452 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GLM Z1 AirX: —
    • GLM 5.3 Flash TEE: 1,642 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • GLM Z1 AirX: —
    • GLM 5.3 Flash TEE: 15.4%

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM Z1 AirX: —
    • GLM 5.3 Flash TEE: 80.0%

  • MLCR-AA

    Long-context reasoning over medical records

    • GLM Z1 AirX: —
    • GLM 5.3 Flash TEE: 11.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM Z1 AirX: —
    • GLM 5.3 Flash TEE: 39.9%

  • GPQA Diamond

    Graduate-level science questions

    • GLM Z1 AirX: —
    • GLM 5.3 Flash TEE: 91.2%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • GLM Z1 AirX: —
    • GLM 5.3 Flash TEE: 32.8%

  • SciCode

    Scientific computing in Python

    • GLM Z1 AirX: —
    • GLM 5.3 Flash TEE: 51.6%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM Z1 AirX: —
    • GLM 5.3 Flash TEE: 80.0%

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

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": "glm-z1-airx",
    "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="glm-z1-airx",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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