VLRS-Bench - Category-State Prediction: leaderboard

Metric: Score (%) on the 125 Spatiotemporal Category-State 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-5.442.4#76
2GPT-4o Mini42.4#588
3GPT-4o (2024-11-20)41.6#369
4Gemini 3.1 Pro (Preview)40#54
5GPT-5 Chat38.8#233
6Qwen 2.5 VL 7B Instruct32.8#643
7Llama 3.2 90B30.8#575
8Qwen 2.5 VL 32B Instruct27.6#443
9Claude Opus 4.626.4#60
10Claude 3.5 Haiku20.8#553
11Qwen 2.5 VL 72B Instruct17.2#364
12Gemini 2.5 Flash16.4#237
13GLM-4.5V13.2#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-category-state-prediction · How It Works · Data refreshed daily, snapshot 2026-10-11.