DatBench - Spatial Reasoning: leaderboard

DatBench (DatologyAI, 2026) spatial-reasoning suite: relative positions, depth and physical layout in real-world photos and driving or monitoring footage, drawn from RealWorldQA and MME-RealWorld video monitoring and autonomous driving after DatBench's curation (multiple-choice items turned into free-form answers judged by Qwen3-30B or scored circularly, items solvable without the image or flagged by a GPT-5.2 judge as mislabeled removed, and a high-discrimination subset kept). Accuracy in percent, higher is better, with generation capped at 4,096 tokens; the curation used the responses of the same 1B-10B models the paper scores.

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Around 2031. 27 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 4B Instruct21.8#1281
2Qwen2.5-Omni-7B21.2#1797
3Qwen 2.5 VL 7B Instruct20.8#1842
4Qwen 3 VL 8B Instruct19.7#982
5InternVL2-8B19.4#3025
6GLM-4.1V-9B (Thinking)19.4#1061 (GLM-4.1V-9B)
7InternVL2.5-2B15.1#6868
8Qwen 3 VL 8B (Thinking)10.2#887
9Qwen 3 VL 4B (Thinking)9.1#1303
10Gemma 3 4B (IT)8.1#3848

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=datbench-spatial-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-12.