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GLM 4.5 Air
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GLM 4.5 Air

An efficient and lightweight version of the GLM-4.5 series, with a total of 106 billion parameters and 12 billion activations. It is designed for low-latency and high-concurrency scenarios, maintaining the state-of-the-art level in the open source community for inference, code, and agent tasks.
Intelligence(Medium)
Speed(Relatively Slow)
Input Supported Modalities
Yes
Is Reasoning Model
128,000
Context Window
8,192
Maximum Output Tokens
2025-07-01
Knowledge Cutoff
Go Compare

Pricing

￥0.8 /M tokens
Input
￥2 /M tokens
Output
￥1.1 /M tokens
Blended Price

Quick Simple Comparison

Input

Output

GLM-4.5
￥0.06
GLM-4.5-AirX
￥0.28
GLM-4.5-Air
￥0.11

Basic Parameters

GLM-4.5-AirTechnical Parameters
Parameter Count
Not Announced
Context Length
128.00k tokens
Training Data Cutoff
2025-07-01
Open Source Category
Open Source
Multimodal Support
Text, Image
Throughput
100
Release Date
2025-07-28
Response Speed
100 tokens/s

Benchmark Scores

Below is the performance of GLM-4.5-Air in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
59.8
Large Language Model Intelligence Level
Coding Index
57.6
Indicator of AI model performance on coding tasks
Math Index
89.4
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
81.4
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
75
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
-
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
-
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
-
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
-
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
98.1
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
89.4
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
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