Z.ai · Efficient

GLM 4 Air 0111

Added Jan 11, 2025

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.

Limits
	GLM 4 Air 0111Z.aiThis model	Apex Flash 1Z.aiRemove
Provider	Z.ai	Z.ai
Discovery tier	Efficient	Open weights
Added	Jan 11, 2025	Oct 5, 2026
Context window	128K	1.05MBest
Max output	4.1K	32.77KBest
Average output	69 tokens	672 tokens
Pricing, USD per 1M tokens
Input	$0.14Best	$0.15
Output	$0.14Best	$0.50
Cache read	—	$0.075
Performance
Throughput	—	14.5 tok/s
Time to first token	—	4.1 s
Request success (24h)	—	94.6%
Capabilities
Reasoning	No	Yes
Tools	No	Yes
Vision	No	Yes
Reasoning effort	—	low, high, max

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

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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