VLRS-Bench - Scenario Uncertainty Prediction: leaderboard

Metric: Score (%) on the 125 Spatiotemporal Scenario Uncertainty 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: Around 2029. 20 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)42.8#54
2GPT-5.440#76
3Claude Opus 4.639.6#60
4GPT-4o (2024-11-20)28.4#369
5GPT-4o Mini28#588
6GPT-5 Chat28#233
7Llama 3.2 90B26.8#575
8Claude 3.5 Haiku24.8#553
9Qwen 2.5 VL 32B Instruct23.6#443
10Qwen 2.5 VL 7B Instruct23.2#643
11Qwen 2.5 VL 72B Instruct20.4#364
12GLM-4.5V18#339
13Gemini 2.5 Flash11.6#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-scenario-uncertainty-prediction · How It Works · Data refreshed daily, snapshot 2026-10-11.