CogVLM-17B-Chat: benchmark results
Provider: Zhipu. Released 2023-12-20.
Aggregate Rating 1288 ± 37, rank #8882 of 10916 rated models, from 448 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| OpenVLM MMT-Bench - Animal Keypoint Detection | 50 | Score (%) | 96.4 |
| OpenVLM MMT-Bench - Shape Recognition | 95 | Score (%) | 93.7 |
| OpenVLM MMT-Bench - Jigsaw Puzzle Solving | 40 | Score (%) | 92.7 |
| OpenVLM MMT-Bench - Artwork Emotion Recognition | 60 | Score (%) | 91.7 |
| OpenVLM MMT-Bench - Painting Recognition | 90 | Score (%) | 90.8 |
| OpenVLM MMT-Bench - Weapon Recognition | 95 | Score (%) | 90 |
| OpenVLM MME - Existence | 200 | Score | 89.7 |
| OpenVLM MMT-Bench - Abstract Visual Recognition | 85 | Score (%) | 89.1 |
| OpenVLM OCR-VQA | 66.3 | Accuracy (%) | 88.5 |
| OpenVLM SEEDBench IMG - Instance Interaction | 77.3 | Accuracy (%) | 86.9 |
| OpenVLM VCR - English Hard | 54.9 | Jaccard (%) | 86.8 |
| OpenVLM MMT-Bench - Traffic Sign Understanding | 90 | Score (%) | 86.2 |
Interactive version: theaggregate.ai/model?slug=cogvlm-17b-chat · How It Works · Data refreshed daily, snapshot 2026-11-08.