SiT-Bench - Multi-View & Geometric Reasoning: leaderboard

SiT-Bench category (Beijing Institute of Technology, 2026): coordinate transformations and multi-view consistency, with real-world spatial questions, view consistency, perspective shifts, pure mental rotation and LEGO-style spatial puzzles (836 items). Item-weighted accuracy in percent, higher is better; scenes are given only as coordinate-aware text descriptions, never as images.

Metric: Accuracy (%; item-weighted over the category's subtasks). Source: arxiv.org. Saturation forecast: Around June 2027. 31 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash (Preview)68.54#141
2GPT-4o54.55#741
3Qwen 2.5 VL 72B Instruct53.47#845
4Qwen 2.5 72B Instruct53.23#1093
5Qwen 3 VL 8B Instruct48.44#982
6DeepSeek V3.2 (Non-reasoning)46.65#403 (DeepSeek V3.2)
7InternVL3-8B46.41#1695
8Qwen 3 30B A3B 2507 Instruct46.41#1078
9Qwen 2.5 VL 7B Instruct46.29#1842
10Qwen 2.5 7B Instruct45.81#2583
11Qwen 3 VL 32B Instruct45.81#582
12Qwen 3 VL 4B Instruct45.81#1281
13InternVL3-14B45.69#1184
14Qwen 3 4B (Non-reasoning)43.06#2297 (Qwen 3 4B)
15Qwen 3 8B (Non-reasoning)41.87#1838 (Qwen 3 8B)

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

Interactive version: theaggregate.ai/benchmark?slug=sit-bench-multi-view-geometric-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-12.