VLRS-Bench - Counterfactual Reasoning: leaderboard

Metric: Score (%) on the 125 Counterfactual Reasoning (single image) 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 2033. 23 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)44.8#54
2GPT-4o (2024-11-20)43.2#369
3GPT-5.441.6#76
4GPT-4o Mini41.6#588
5GPT-5 Chat40#233
6Llama 3.2 90B36.4#575
7Claude 3.5 Haiku31.6#553
8Qwen 2.5 VL 32B Instruct31.2#443
9Qwen 2.5 VL 72B Instruct30#364
10Claude Opus 4.626.4#60
11Llama 3.2 11B22.8#1183
12Gemini 2.5 Flash18.8#237
13Qwen 2.5 VL 7B Instruct17.2#643
14GLM-4.5V13.6#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-counterfactual-reasoning · How It Works · Data refreshed daily, snapshot 2026-10-11.