Vision-Language Reasoning and Knowledge on ConBench
76.51AccuracyQwen3.0-VL-8B
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Qwen3.0-VL-8BModel Size=8B, Version=3.02026.05 | 76.51 | 1 | 21.41 | 33.45 | 31.17 | |
| InternVL-3.5-8BModel Size=8B, Version=3.52026.05 | 74.53 | 2 | 18.83 | 30.06 | 31.24 | |
| Qwen2.5-VL-7BModel Size=7B, Version=2.52026.05 | 73.54 | 3 | 39.15 | 51.1 | 47.03 | |
| InternVL-2.5-8BModel Size=8B, Version=2.52026.05 | 72.05 | 4 | 21.8 | 33.48 | 27.86 | |
| Qwen2.0-VL-7BModel Size=7B, Version=2.02026.05 | 71.75 | 5 | 16.55 | 26.9 | 23.37 | |
| InternVL-3.0-8BModel Size=8B, Version=3.02026.05 | 71.46 | 6 | 44.2 | 54.62 | 51.01 | |
| Gemma3.0-12BModel Size=12B, Version=3.02026.05 | 70.76 | 7 | 46.18 | 55.89 | 53.91 | |
| InternVL-2.0-8BModel Size=8B, Version=2.02026.05 | 64.52 | 8 | 28.05 | 39.1 | 30.82 | |
| Qwen-VL-7B-ChatModel Size=7B, Mode=Chat2026.05 | 56.89 | 9 | 28.84 | 38.28 | 28.07 | |
| LLaVA-1.5-13BModel Size=13B, Version=1.52026.05 | 53.02 | 10 | 13.38 | 21.37 | 13.12 | |
| LLaVA-1.6-13BModel Size=13B, Version=1.62026.05 | 46.78 | 11 | 27.25 | 34.44 | 22.33 |