LLaVA-v1.5-13B: benchmark results
Provider: LLaVA Team. Released 2023-10-05. Access: Open.
Aggregate Rating 1353 ± 22, rank #7629 of 10916 rated models, from 613 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| OpenVLM MMT-Bench - Deepfake Detection | 70 | Score (%) | 98.3 |
| OpenVLM MMT-Bench - Order Hallucination | 60 | Score (%) | 96.6 |
| OpenVLM MMT-Bench - Font Recognition | 45 | Score (%) | 95.9 |
| Open LMM Reasoning - WeMath - InsufficientKnowledge (Loose) | 67.6 | Accuracy (%) | 95.1 |
| OpenVLM MMT-Bench - CIM | 73.3 | Score (%) | 94.7 |
| Open LMM Reasoning - WeMath - RoteMemorization (Strict) | 81.1 | Accuracy (%) | 93.8 |
| OpenVLM MMT-Bench - Color Assimilation | 75 | Score (%) | 93 |
| OpenVLM MMT-Bench - Gaze Estimation | 35 | Score (%) | 93 |
| OpenVLM MMT-Bench - Crowd Counting | 70 | Score (%) | 92.7 |
| OpenVLM MMT-Bench - One Shot Detection | 85 | Score (%) | 92.7 |
| Open LMM Reasoning - WeMath - RoteMemorization (Loose) | 20.9 | Accuracy (%) | 92.6 |
| GeoHeight-Bench - Elevation Retrieval | 53.46 | Text accuracy (%) on the Elevation Retrieval task (the model | 91.7 |
Interactive version: theaggregate.ai/model?slug=llava-v1-5-13b · How It Works · Data refreshed daily, snapshot 2026-11-08.