Private AI
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.
Added Apr 15, 2025
Model weightsContext Window
128.0K
Max Output
98.3K
Avg output tokens (7d)
182 tokens
Input Price (Auto)
$0.13/1M
Output Price (Auto)
$0.84/1M
Cache Read (Auto)
$0.063/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
16.5
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GPQA Diamond
Graduate-level scientific reasoning
73.3%
Better than 58% of models compared
HLE
Humanity's Last Exam
6.8%
Better than 49% of models compared
IFBench
Instruction-following benchmark
37.6%
Better than 32% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
46.5%
Better than 50% of models compared
AA-LCR
Long context reasoning evaluation
43.7%
Better than 52% of models compared
SciCode
Python programming for scientific computing
30.6%
Better than 44% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
20.5%
AIME 2025
American Invitational Mathematics Examination 2025
80.7%
Better than 77% of models compared
AIME
American Invitational Mathematics Examination
67.3%
Better than 77% of models compared
MMLU-Pro
Professional and academic subject knowledge
81.5%
Better than 75% of models compared
Last updated Aug 4, 2026
Artificial AnalysisBetter than 60% of models compared
LiveCodeBench
Contamination-free coding benchmark
68.4%
Better than 76% of models compared
Math-500
Diverse mathematical problem solving benchmark
96.5%
Better than 84% of models compared
