VLRS-Bench - Spatiotemporal Counterfactual Reasoning: leaderboard

Metric: Score (%) on the 125 Spatiotemporal Counterfactual Reasoning (two images) questions of VLRS-Bench remote-sensing reasoning questions built from 11 public optical, multi-temporal and change-detection datasets with DSM, NIR, mask and metadata priors, drafted by GPT-5-chat and reviewed by models and nine RS experts; single-choice (5 options) and true/false items score 1 when correct, 8-option multiple-choice and fill-in-the-blank items score 1 when fully correct and 0.5 when partially correct (blanks matched by embedding similarity above 0.8); zero-shot with a standardized prompt; mean item score times 100; higher is better. Source: arxiv.org. Saturation forecast: Around June 2028. 20 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)47.6#54
2Claude Opus 4.645.2#60
3GPT-5.441.6#76
4GPT-4o Mini40#588
5GPT-4o (2024-11-20)36#369
6Qwen 2.5 VL 72B Instruct31.6#364
7GPT-5 Chat27.6#233
8Qwen 2.5 VL 32B Instruct24.4#443
9Llama 3.2 90B23.6#575
10Qwen 2.5 VL 7B Instruct22.4#643
11Claude 3.5 Haiku19.2#553
12Gemini 2.5 Flash18.8#237
13GLM-4.5V15.2#339

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

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