VLRS-Bench - Semantic Integration Reasoning: leaderboard

Metric: Score (%) on the 125 Semantic Integration 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 2030. 23 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.451.6#76
2Gemini 3.1 Pro (Preview)49.6#54
3GPT-5 Chat47.2#233
4GPT-4o Mini42.8#588
5GPT-4o (2024-11-20)42#369
6Qwen 2.5 VL 7B Instruct38.4#643
7Claude Opus 4.637.2#60
8Qwen 2.5 VL 32B Instruct36.8#443
9Llama 3.2 90B35.6#575
10Claude 3.5 Haiku30.4#553
11Qwen 2.5 VL 72B Instruct29.6#364
12Gemini 2.5 Flash26.4#237
13GLM-4.5V24.8#339
14Llama 3.2 11B24.4#1183

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