MultihopSpatial: leaderboard

Metric: Multiple-choice accuracy (%) over all 4,500 MultihopSpatial questions (1-3 hops, ego- and exo-centric), one prompt template, answer and target bounding box required; higher is better. Source: arxiv.org. Saturation forecast: Around August 2028. 37 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro64.7#77
2GPT-5.2 (xHigh)57.9#105 (GPT-5.2)
3Gemini 3 Flash57.2#93
4Claude Opus 4.5 (Thinking)47#79 (Claude Opus 4.5)
5Qwen 3 VL 32B (Thinking)46.8#287 (Qwen 3 VL 32B)
6Claude Opus 4.545.1#79
7Qwen 3 VL 235B A22B (Thinking)45.1#228 (Qwen 3 VL 235B A22B)
8GLM-4.6V (Non-reasoning)43.2#309 (GLM-4.6V)
9Qwen 3 VL 4B (Thinking)42.6#471 (Qwen 3 VL 4B)
10GLM-4.6V (Thinking)42#309 (GLM-4.6V)
11Molmo2-8B41.8#522
12Qwen 3 VL 8B (Thinking)41.7
13Qwen 3 VL 235B A22B Instruct41.3#264
14Qwen 3 VL 32B Instruct40.9#276
15Qwen 3 VL 8B Instruct38#401

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=multihopspatial · How It Works · Data refreshed daily, snapshot 2026-10-11.