GLM-4.5-Air
According to BenchLM.ai, GLM-4.5-Air ranks #112 out of 119 models on the provisional leaderboard with an overall score of 19/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
GLM-4.5-Air is a proprietary model with a 128K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
This profile currently has 16 of 225 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Mathematics (#84), while its weakest is Instruction Following (#114). This performance profile makes it particularly strong for mathematical reasoning, scientific computing, and quantitative analysis.
Ranking Distribution
Category rank across 8 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
#87Coding
#85Reasoning
#86Knowledge
#101Math
#84Multilingual
#93Multimodal
#103Inst. Following
#114Chatbot Arena Performance
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
See how GLM-4.5-Air stacks up against similar models
Frequently Asked Questions
How does GLM-4.5-Air perform overall in AI benchmarks?
GLM-4.5-Air currently ranks #112 out of 119 models on BenchLM's provisional leaderboard with an overall score of 19 (estimated). It is created by Z.AI and features a 128K context window.
Is GLM-4.5-Air good for knowledge and understanding?
GLM-4.5-Air ranks #101 out of 119 models in knowledge and understanding benchmarks with an average score of 9.1. There are stronger options in this category.
Is GLM-4.5-Air good for coding and programming?
GLM-4.5-Air ranks #85 out of 119 models in coding and programming benchmarks with an average score of 12.8. There are stronger options in this category.
Is GLM-4.5-Air good for reasoning and logic?
GLM-4.5-Air ranks #86 out of 119 models in reasoning and logic benchmarks with an average score of 14.7. There are stronger options in this category.
Is GLM-4.5-Air good for agentic tool use and computer tasks?
GLM-4.5-Air ranks #87 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 18. There are stronger options in this category.
Is GLM-4.5-Air good for instruction following?
GLM-4.5-Air ranks #114 out of 119 models in instruction following benchmarks with an average score of 5.5. There are stronger options in this category.
Does GLM-4.5-Air have full benchmark coverage on BenchLM?
Not yet. GLM-4.5-Air currently has 16 published benchmark scores out of the 225 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of GLM-4.5-Air?
GLM-4.5-Air has a context window of 128K, which determines how much text it can process in a single interaction.
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