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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 Air (Thinking)Z.aiRemove
ProviderZ.aiZ.ai
Discovery tierEfficientOpen weights
AddedJan 11, 2025Jan 1, 2024
Limits
Context window128K128K
Max output4.1K98.3KBest
Average output69 tokens973 tokens
Pricing, USD per 1M tokens
Input$0.14$0.13Best
Output$0.14Best$0.85
Cache read—$0.025
Performance
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index—11.1
Math Index—80.7
Capabilities
ReasoningNoYes
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 (Thinking)

Intelligence Index

  • GLM 4 Air 0111—
  • GLM 4.5 Air (Thinking)11.1
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • GLM 4 Air 0111: —
    • GLM 4.5 Air (Thinking): 80.7

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 4 Air 0111: —
    • GLM 4.5 Air (Thinking): 46.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 4 Air 0111: —
    • GLM 4.5 Air (Thinking): 7.0%

  • GPQA Diamond

    Graduate-level science questions

    • GLM 4 Air 0111: —
    • GLM 4.5 Air (Thinking): 73.3%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GLM 4 Air 0111: —
    • GLM 4.5 Air (Thinking): 81.5%

  • IFBench

    Following precise output instructions

    • GLM 4 Air 0111: —
    • GLM 4.5 Air (Thinking): 37.6%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GLM 4 Air 0111: —
    • GLM 4.5 Air (Thinking): 68.4%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GLM 4 Air 0111: —
    • GLM 4.5 Air (Thinking): 80.7%

  • AIME

    Competition mathematics

    • GLM 4 Air 0111: —
    • GLM 4.5 Air (Thinking): 67.3%

  • MATH-500

    Competition math problems

    • GLM 4 Air 0111: —
    • GLM 4.5 Air (Thinking): 96.5%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 4 Air 0111: —
    • GLM 4.5 Air (Thinking): 20.5%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 4 Air 0111: —
    • GLM 4.5 Air (Thinking): 46.5%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 4 Air 0111: —
    • GLM 4.5 Air (Thinking): 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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