GLM-4.5V — benchmark results
Provider: Zhipu. Released 2025-07-28. Access: Open.
Unified ELO 1376 ± 31, rank #1322 of 1776 rated models, from 100 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| AGC-Bench - chinese_homophonic_puns | 1.33 | Dataset z-score | 96.3 |
| CFMME | 60.78 | Average (self-reported) | 86.7 |
| MathVision | 65.6 | Overall Accuracy (%) | 78.3 |
| StemBind | 34.6 | F Overall (self-reported) | 69.6 |
| AGC-Bench - grapheval_ai_researcher | 0.44 | Dataset z-score | 67.9 |
| AGC-Bench - analobench | 0.59 | Dataset z-score | 67.3 |
| Math-VR | 49.6 | Overall Answer Correctness (self-reported) | 66.7 |
| SciEval - Life Sciences | 54.11 | Life Sciences (%) | 66.7 |
| Kagi LLM Benchmark | 59.8 | Accuracy (%) | 64.3 |
| Physical AI Bench - Understanding Overall | 59.2 | Overall Score (%) | 62.5 |
| Physical AI Bench Understanding | 59.2 | Overall Score (%) | 62.5 |
| CulMind | 43.8 | S (self-reported) | 61.5 |
Interactive version: theaggregate.ai/model?slug=glm-4-5v · How the rankings work · Data refreshed daily, snapshot 2026-07-22.