Qwen2-VL-7B-Base: benchmark results
Provider: Alibaba.
Aggregate Rating 1502 ± 46, rank #2308 of 10916 rated models, from 15 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| FewMMBench (8-Shot, Similar + CoT) | 76.3 | Mean accuracy (%) on the FewMMBench query sets (about 250 mu | 88 |
| FewMMBench (8-Shot, Random) | 79.3 | Mean accuracy (%) on the FewMMBench query sets (about 250 mu | 84 |
| FewMMBench (8-Shot, Similar) | 78.5 | Mean accuracy (%) on the FewMMBench query sets (about 250 mu | 84 |
| FewMMBench (4-Shot, Random) | 79.1 | Mean accuracy (%) on the FewMMBench query sets (about 250 mu | 80 |
| FewMMBench (4-Shot, Similar + CoT) | 75.4 | Mean accuracy (%) on the FewMMBench query sets (about 250 mu | 80 |
| MATRIX (Materials Science) - EDS Interpretation | 45.5 | Judge score (% of the maximum) on MATRIX eds interpretation: | 80 |
| MATRIX (Materials Science) - SEM-SE Interpretation | 43.5 | Judge score (% of the maximum) on MATRIX sem-se interpretati | 80 |
| MATRIX (Materials Science) - TGA Interpretation | 54 | Judge score (% of the maximum) on MATRIX tga interpretation: | 80 |
| MATRIX (Materials Science) - XRD Interpretation | 46.5 | Judge score (% of the maximum) on MATRIX xrd interpretation: | 80 |
| FewMMBench (4-Shot, Similar) | 77.9 | Mean accuracy (%) on the FewMMBench query sets (about 250 mu | 76 |
| MATRIX (Materials Science) - Foundational Theory | 41.4 | Judge score (% of the maximum) on MATRIX foundational theory | 57.1 |
| MATRIX (Materials Science) - SEM-BSE Interpretation | 39.5 | Judge score (% of the maximum) on MATRIX sem-bse interpretat | 40 |
Interactive version: theaggregate.ai/model?slug=qwen2-vl-7b-base · How It Works · Data refreshed daily, snapshot 2026-11-08.