DK-VLM - MindCube: leaderboard
DK-VLM v1; LoRA/geometric attention fine-tunes remain distinct from Qwen2.5VL7BInstruct and Qwen3VL8BInstruct backbones. Frozen VGGT-Omega 1B frontend; official shared six-benchmark GeoThinker evaluation settings. Comparison baseline scores are source-reported, starred GeoThinker values reproduced by authors; no automatic primary-board fusion. Table2 six spatial datasets; VSI overall already retained once from Table1, not duplicated here. Metric: Accuracy (%). Higher is better. Source: https://arxiv.org/html/2610.22356v1
Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 9 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | DK-VLM-8B | 83.83 | |
| 2 | DK-VLM-7B | 83.81 | |
| 3 | GeoThinker-7B | 83.6 | |
| 4 | GeoThinker-8B | 83 | |
| 5 | VLM-3R-7B | 40 | |
| 6 | Cambrian-S-7B | 39.6 | |
| 7 | VG-LLM-8B | 36.1 | |
| 8 | Qwen2.5-VL-7B (DK-VLM paper baseline) | 36 | |
| 9 | Qwen3-VL-8B (DK-VLM paper baseline) | 29.8 |
Interactive version: theaggregate.ai/benchmark?slug=dk-vlm-mindcube · How It Works · Data refreshed daily, snapshot 2026-10-17.