SiT-Bench - Navigation & Planning: leaderboard

SiT-Bench category (Beijing Institute of Technology, 2026): egocentric decision making, with outdoor navigation (predicting the view after a maneuver), path planning over floor plans and ego- or object-motion perception (900 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 February 2027. 31 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash (Preview)77.11#141
2Qwen 3 VL 32B Instruct59.44#582
3Qwen 2.5 VL 72B Instruct55.67#845
4GPT-4o53.78#741
5Qwen 2.5 72B Instruct50.56#1093
6DeepSeek V3.2 (Non-reasoning)49.89#403 (DeepSeek V3.2)
7InternVL3-14B48.89#1184
8Qwen 3 VL 4B Instruct47.44#1281
9Qwen 3 4B (Non-reasoning)45.89#2297 (Qwen 3 4B)
10Qwen 3 VL 8B Instruct45.78#982
11Qwen 2.5 3B Instruct45.44#5206
12Llama 3.1 8B Instruct45.11#4277
13Qwen 3 8B (Non-reasoning)45.11#1838 (Qwen 3 8B)
14Qwen 3 4B 2507 Instruct44.22#2174
15Qwen 2.5 VL 7B Instruct42.78#1842

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-navigation-planning · How It Works · Data refreshed daily, snapshot 2026-11-12.