Z.ai · Open weights
GLM 4.5 Air (Thinking)
GLM-4.5-Air with thinking mode enabled for enhanced reasoning capabilities. Shows step-by-step thought process.
- Reasoning
- Tools
- Structured output
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.13
- Output
- $0.85
- Cache read
- $0.025
Reference prices as published by the model provider. API example
Specifications
- Context window
- 128K
- Max output
- 98.3K
- Average output (7 days)
- 973 tokens
- Longer than 70% of 465 models
Side by side
GLM 4.5 Air (Thinking) compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| GLM 4.5 Air (Thinking)Z.aiThis model | GLM 4.5 AirZ.aiRemove | |
|---|---|---|
| Provider | Z.ai | Z.ai |
| Discovery tier | Open weights | Open weights |
| Added | Jan 1, 2024 | Apr 15, 2025 |
| Limits | ||
| Context window | 128K | 128K |
| Max output | 98.3K | 98.3K |
| Average output | 973 tokens | 59 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.13 | $0.13 |
| Output | $0.85 | $0.85 |
| Cache read | $0.025 | $0.025 |
| Performance | ||
| Throughput | — | 86.6 tok/s |
| Time to first token | — | 1.7 s |
| Request success (24h) | 100.0% | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 11.1 | 11.1 |
| Math Index | 80.7 | 80.7 |
| Capabilities | ||
| Reasoning | Yes | No |
| Tools | Yes | Yes |
| Structured output | Yes | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- GLM 4.5 Air (Thinking)
- GLM 4.5 Air
Intelligence Index
- GLM 4.5 Air (Thinking)11.1
- GLM 4.5 Air11.1
GLM 4.5 Air (Thinking): Better than 23% of 326 scored models
Indexes
Math Index
Composite of the math evaluations
- GLM 4.5 Air (Thinking): 80.7Top
- GLM 4.5 Air: 80.7Top
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- GLM 4.5 Air (Thinking): 46.7%Top
- GLM 4.5 Air: 46.7%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GLM 4.5 Air (Thinking): 7.0%Top
- GLM 4.5 Air: 7.0%Top
GPQA Diamond
Graduate-level science questions
- GLM 4.5 Air (Thinking): 73.3%Top
- GLM 4.5 Air: 73.3%Top
MMLU-Pro
Multi-subject knowledge and reasoning
- GLM 4.5 Air (Thinking): 81.5%Top
- GLM 4.5 Air: 81.5%Top
IFBench
Following precise output instructions
- GLM 4.5 Air (Thinking): 37.6%Top
- GLM 4.5 Air: 37.6%Top
Coding
LiveCodeBench
Recent competitive programming problems
- GLM 4.5 Air (Thinking): 68.4%Top
- GLM 4.5 Air: 68.4%Top
Math
AIME 2025
Competition mathematics, 2025 problems
- GLM 4.5 Air (Thinking): 80.7%Top
- GLM 4.5 Air: 80.7%Top
AIME
Competition mathematics
- GLM 4.5 Air (Thinking): 67.3%Top
- GLM 4.5 Air: 67.3%Top
MATH-500
Competition math problems
- GLM 4.5 Air (Thinking): 96.5%Top
- GLM 4.5 Air: 96.5%Top
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- GLM 4.5 Air (Thinking): 20.5%Top
- GLM 4.5 Air: 20.5%Top
τ²-Bench Telecom
Tool use in a customer-support simulation
- GLM 4.5 Air (Thinking): 46.5%Top
- GLM 4.5 Air: 46.5%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GLM 4.5 Air (Thinking): 46.7%Top
- GLM 4.5 Air: 46.7%Top
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Prompt cache hits
- 46.3%
- About $0.0814 per 1M input tokens with caching
- Request success (24h)
- 100.0%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "z-ai/GLM-4.5-Air:thinking",
"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="z-ai/GLM-4.5-Air:thinking",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Z.ai
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