Z.ai · Open weights
GLM 4.5 Air
GLM-4.5-Air is a 106B total / 12B active parameter model designed to unify frontier reasoning, coding, and agentic capabilities. On the SWE-bench Verified benchmark, it delivers the best performance at its scale with a competitive performance-to-cost ratio.
- 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)
- 59 tokens
- Longer than 5% of 465 models
Side by side
GLM 4.5 Air compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| GLM 4.5 AirZ.aiThis model | GPT 5.4 MiniOpenAIRemove | |
|---|---|---|
| Provider | Z.ai | OpenAI |
| Discovery tier | Open weights | Efficient |
| Added | Apr 15, 2025 | Mar 17, 2026 |
| Limits | ||
| Context window | 128K | 400KBest |
| Max output | 98.3K | 128KBest |
| Average output | 59 tokens | 172 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.13Best | $0.75 |
| Output | $0.85Best | $4.50 |
| Cache read | $0.025Best | $0.075 |
| Performance | ||
| Throughput | 89.9 tok/s | 128.9 tok/sBest |
| Time to first token | 1.6 s | 0.8 sBest |
| Request success (24h) | 100.0% | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 11.1 | 11.1 |
| Math Index | 80.7 | — |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | Yes | Yes |
| Vision | No | Yes |
| Structured output | Yes | Yes |
| PDF input | No | Yes |
| Reasoning effort | — | none, low, medium, high, xhigh |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- GLM 4.5 Air
- GPT 5.4 Mini
Intelligence Index
- GLM 4.5 Air11.1
- GPT 5.4 Mini11.1
GLM 4.5 Air: Better than 23% of 326 scored models
Indexes
Math Index
Composite of the math evaluations
- GLM 4.5 Air: 80.7
- GPT 5.4 Mini: —
Agentic work
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- GLM 4.5 Air: —
- GPT 5.4 Mini: 589 Elo
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- GLM 4.5 Air: 46.7%Top
- GPT 5.4 Mini: 37.0%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GLM 4.5 Air: 7.0%Top
- GPT 5.4 Mini: 5.9%
GPQA Diamond
Graduate-level science questions
- GLM 4.5 Air: 73.3%Top
- GPT 5.4 Mini: 60.6%
MMLU-Pro
Multi-subject knowledge and reasoning
- GLM 4.5 Air: 81.5%
- GPT 5.4 Mini: —
IFBench
Following precise output instructions
- GLM 4.5 Air: 37.6%
- GPT 5.4 Mini: 38.8%Top
Coding
LiveCodeBench
Recent competitive programming problems
- GLM 4.5 Air: 68.4%
- GPT 5.4 Mini: —
Math
AIME 2025
Competition mathematics, 2025 problems
- GLM 4.5 Air: 80.7%
- GPT 5.4 Mini: —
AIME
Competition mathematics
- GLM 4.5 Air: 67.3%
- GPT 5.4 Mini: —
MATH-500
Competition math problems
- GLM 4.5 Air: 96.5%
- GPT 5.4 Mini: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- GLM 4.5 Air: 20.5%Top
- GPT 5.4 Mini: 18.2%
τ²-Bench Telecom
Tool use in a customer-support simulation
- GLM 4.5 Air: 46.5%Top
- GPT 5.4 Mini: 23.4%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GLM 4.5 Air: 46.7%Top
- GPT 5.4 Mini: 37.0%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- GLM 4.5 Air
- GPT 5.4 Mini
| Leaderboard | GLM 4.5 Air | GPT 5.4 Mini |
|---|---|---|
| FrontierMath v2 (Tiers 1–3) | Not in top 20 | #12 · 51.2% |
| GPQA Diamond | Not in top 20 | #15 · 86.9% |
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
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.
- Throughput
- 89.9 tok/s
- Faster than 57% of 251 models
- Time to first token
- 1.6 s
- Quicker than 85% of 251 models
- Prompt cache hits
- 40.6%
- About $0.0873 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",
"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",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Z.ai
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