VLRS-Bench - Causal Reasoning: leaderboard

Metric: Score (%) on the 125 Causal 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: Not forecast. 23 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4o Mini42.8#588
2GPT-5 Chat42.4#233
3Gemini 3.1 Pro (Preview)42#54
4GPT-5.441.2#76
5GPT-4o (2024-11-20)37.6#369
6Llama 3.2 90B36.8#575
7Claude 3.5 Haiku30.8#553
8Qwen 2.5 VL 32B Instruct29.2#443
9Claude Opus 4.627.2#60
10GLM-4.5V26.8#339
11Qwen 2.5 VL 7B Instruct25.6#643
12Llama 3.2 11B23.2#1183
13Qwen 2.5 VL 72B Instruct21.6#364
14Gemini 2.5 Flash20#237

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-causal-reasoning · How It Works · Data refreshed daily, snapshot 2026-10-11.