VLRS-Bench - Planning Reasoning: leaderboard

Metric: Score (%) on the 250 pre-event Planning 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 2032. 23 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.445.6#76
2Gemini 3.1 Pro (Preview)42.8#54
3Llama 3.2 90B40.8#575
4Qwen 2.5 VL 72B Instruct40.2#364
5Claude Opus 4.639.8#60
6GPT-5 Chat38.8#233
7Claude 3.5 Haiku37.2#553
8Qwen 2.5 VL 32B Instruct37#443
9GLM-4.5V31.2#339
10Llama 3.2 11B29.2#1183
11GPT-4o (2024-11-20)28.6#369
12GPT-4o Mini24.8#588
13Gemini 2.5 Flash23.2#237
14Qwen 2.5 VL 7B Instruct19.8#643

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