SiT-Bench - Embodied & Fine-grained Perception: leaderboard

SiT-Bench category (Beijing Institute of Technology, 2026): micro-spatial relations and contact physics, with hand-object interaction, fine-grained state tracking, relative depth and distance, and predicting the outcome of robot actions (1,105 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 2029. 31 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 32B Instruct53.67#582
2Gemini 3 Flash (Preview)51.31#141
3InternVL3-14B49.59#1184
4Qwen 2.5 VL 72B Instruct49.59#845
5GPT-4o47.78#741
6Qwen 2.5 72B Instruct47.15#1093
7InternVL3-8B47.06#1695
8Qwen 3 VL 8B Instruct43.53#982
9Qwen 3 8B (Non-reasoning)42.99#1838 (Qwen 3 8B)
10Qwen 2.5 7B Instruct40.36#2583
11Llama 3.1 8B Instruct39.73#4277
12Qwen 3 VL 4B Instruct38.19#1281
13Qwen 3 4B 2507 Instruct38.1#2174
14Qwen 3 30B A3B 2507 Instruct37.38#1078
15Qwen 3 4B (Non-reasoning)34.57#2297 (Qwen 3 4B)

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-embodied-fine-grained-perception · How It Works · Data refreshed daily, snapshot 2026-11-12.