NOUMENOpen app

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 5.3 UncensoredZ.aiRemove
ProviderZ.aiZ.ai
Discovery tierEfficientOpen weights
AddedJan 11, 2025Sep 26, 2026
Limits
Context window128K1.05MBest
Max output4.1K131.07KBest
Average output69 tokens1.1K tokens
Pricing, USD per 1M tokens
Input$0.14Best$1.25
Output$0.14Best$2.25
Cache read—$0.30
Performance
Throughput—37.0 tok/s
Time to first token—7.6 s
Request success (24h)—98.8%
Capabilities
ReasoningNoYes
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 4 Air 0111
  • GLM 5.3 Uncensored
LeaderboardGLM 4 Air 0111GLM 5.3 Uncensored
Usage ShareNot in top 20#8 · 4.8%

Ranks among Noumen catalog models on Usage leaderboards. Only top-20 placements are listed.

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)

Z.ai

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