Z AI has launched a newer model, GLM-4.7-Flash, we suggest considering this model instead.
For more information, see Comparison of GLM-4.7-Flash to other models and API provider benchmarks for GLM-4.7-Flash.
GLM-4.5-Air Intelligence, Performance & Price Analysis
Model summary
IntelligenceUpdated
Speed
Input Price
Output Price
Verbosity
GLM-4.5-Air is amongst the leading models in intelligence, but somewhat expensive when comparing to other open weight models of similar size. The model supports text input, outputs text, and has a 128k tokens context window.
GLM-4.5-Air scores 17 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 9).
Pricing for GLM-4.5-Air is $0.17 per 1M input tokens (somewhat expensive, average: $0.15) and $0.98 per 1M output tokens (somewhat expensive, average: $0.56).
At 79 tokens per second, GLM-4.5-Air is slower than average (92).
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
| Total parameters | 106B |
| Active parameters | 12B Number of parameters active per token during inference |
| License | MIT |
| Model weights | Hugging Face |
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
Highlights
IntelligenceUpdated
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Agentic real-world work tasks, (Elo-500)/2000
Agentic tool use
Agentic coding & terminal use
Coding
Reasoning & knowledge
Scientific reasoning
Physics reasoning
Knowledge
1 - hallucination rate
Long context reasoning
Instruction following
Long-horizon agentic tasks
Kubernetes incident root-cause analysis
Visual reasoning
AA-BriefcaseNew
AA-Briefcase Elo
Openness
Artificial Analysis Openness Index: Score
Intelligence Index Comparisons
Intelligence vs. Cost per Intelligence Index Task
Token UseUpdated
Output Tokens per Intelligence Index Task
Price and CostUpdated
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window
Context Window
SpeedUpdated
Measured by Output Speed (tokens per second)
Output Speed
Time per Intelligence Index Task
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about GLM-4.5-Air
GLM-4.5-Air was released on July 28, 2025.
GLM-4.5-Air was created by Z AI.
GLM-4.5-Air scores 17 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 9).
GLM-4.5-Air generates output at 79.0 tokens per second (based on the median across providers serving the model), which is below average compared to other open weight models of similar size (median: 91.8 t/s).
GLM-4.5-Air has a time to first token (TTFT) of 2.70s (based on the median across providers serving the model), which is at the higher end compared to other open weight models of similar size (median: 1.60s).
GLM-4.5-Air costs $0.17 per 1M input tokens (better than average, median: $0.35) and $0.98 per 1M output tokens (somewhat higher than average, median: $0.75), based on the median across providers serving the model.
GLM-4.5-Air costs $0.17 per 1M input tokens and $0.98 per 1M output tokens (based on the median across providers serving the model). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.25 per 1M tokens. Pricing may vary by provider. Compare provider pricing
Yes, GLM-4.5-Air is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
GLM-4.5-Air supports text input.
GLM-4.5-Air supports text output.
No, GLM-4.5-Air does not support image input. It can only process text.
No, GLM-4.5-Air is not multimodal. It only supports text input.
GLM-4.5-Air has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, GLM-4.5-Air is open weights. The model weights are publicly available and can be downloaded for self-hosting.
GLM-4.5-Air has 106 billion parameters (12 billion active).
GLM-4.5-Air is a Mixture of Experts (MoE) model with 106 billion total parameters, but only 12 billion active parameters are used during inference.
GLM-4.5-Air is released under the MIT license. This license allows commercial use. View license
GLM-4.5-Air achieves a score of 17 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
GLM-4.5-Air is an open weights model that can be self-hosted. View providers
GLM-4.5-Air is an open weights model that can be downloaded and self-hosted. Compare providers