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Z.ai · Efficient

GLM 4 Air 0111

Added Jan 11, 2025

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Use in the app

MiniMax's flagship model with a 1M token context window

Input
Text
Output
Text
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.14
Output
$0.14

Reference prices as published by the model provider. API example

Specifications

Context window
128K
Max output
4.1K
Average output (7 days)
69 tokens
Longer than 6% of 468 models

Side by side

GLM 4 Air 0111 compared

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

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GLM 4 Air 0111Z.aiThis modelGLM 4.5 AirZ.aiRemove
ProviderZ.aiZ.ai
Discovery tierEfficientOpen weights
AddedJan 11, 2025Apr 15, 2025
Limits
Context window128K128K
Max output4.1K98.3KBest
Average output69 tokens59 tokens
Pricing, USD per 1M tokens
Input$0.14$0.13Best
Output$0.14Best$0.85
Cache read—$0.025
Performance
Throughput—86.6 tok/s
Time to first token—1.7 s
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index—11.1
Math Index—80.7
Capabilities
ToolsNoYes
Structured outputNoYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • GLM 4 Air 0111
  • GLM 4.5 Air

Intelligence Index

  • GLM 4 Air 0111—
  • GLM 4.5 Air11.1
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • GLM 4 Air 0111: —
    • GLM 4.5 Air: 80.7

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 4 Air 0111: —
    • GLM 4.5 Air: 46.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 4 Air 0111: —
    • GLM 4.5 Air: 7.0%

  • GPQA Diamond

    Graduate-level science questions

    • GLM 4 Air 0111: —
    • GLM 4.5 Air: 73.3%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GLM 4 Air 0111: —
    • GLM 4.5 Air: 81.5%

  • IFBench

    Following precise output instructions

    • GLM 4 Air 0111: —
    • GLM 4.5 Air: 37.6%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GLM 4 Air 0111: —
    • GLM 4.5 Air: 68.4%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GLM 4 Air 0111: —
    • GLM 4.5 Air: 80.7%

  • AIME

    Competition mathematics

    • GLM 4 Air 0111: —
    • GLM 4.5 Air: 67.3%

  • MATH-500

    Competition math problems

    • GLM 4 Air 0111: —
    • GLM 4.5 Air: 96.5%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 4 Air 0111: —
    • GLM 4.5 Air: 20.5%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 4 Air 0111: —
    • GLM 4.5 Air: 46.5%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 4 Air 0111: —
    • GLM 4.5 Air: 46.7%

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-4-air-0111",
    "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-4-air-0111",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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