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A head-to-head benchmark comparison of GLM-4.5-Air across 17 evaluations.
We present GLM-4.5, an open-source Mixture-of-Experts (MoE) large language model with 355B total parameters and 32B activated parameters, featuring a hybrid rea.
Full GLM-4.5-Air specs →| Benchmark | GLM-4.5-Air |
|---|---|
| agentic | |
| BrowseComp | 21.3% |
| TAU-bench Airline | 60.8% |
| TAU-bench Retail | 77.9% |
| Terminal-Bench 2.0 | 30% |
| code | |
| LiveCodeBench | 70.7% |
| SWE-bench Verified | 57.6% |
| SciCode | 37.3% |
| general | |
| IFEval | 86.3% |
| MMLU | 87.4% |
| MMLU-Pro | 81.4% |
| MultiChallenge | 42.5% |
| math | |
| AIME 2024 | 89.4% |
| MATH-500 | 98.1% |
| reasoning | |
| GPQA Diamond | 75% |
| Humanity's Last Exam | 10.6% |
| safety | |
| SimpleQA | 14.5% |
| tool-use | |
| BFCL v3 | 76.4% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
GLM-4.5-Air has the strongest result on LiveCodeBench among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 17 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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