VLRS-Bench - Morphological Prediction: leaderboard

Metric: Score (%) on the 125 Spatiotemporal Morphological Prediction Reasoning (two to eight 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: Not forecast. 20 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.438.4#76
2GPT-4o Mini37.2#588
3Gemini 3.1 Pro (Preview)36#54
4GPT-4o (2024-11-20)35.2#369
5Llama 3.2 90B35.2#575
6Claude Opus 4.632#60
7Qwen 2.5 VL 32B Instruct28.4#443
8Qwen 2.5 VL 7B Instruct28#643
9GPT-5 Chat27.6#233
10Claude 3.5 Haiku22.4#553
11Qwen 2.5 VL 72B Instruct18#364
12GLM-4.5V17.2#339
13Gemini 2.5 Flash16.8#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-morphological-prediction · How It Works · Data refreshed daily, snapshot 2026-10-11.