LogiScope-VQA - Warehouse Commonsense: leaderboard
Metric: Micro-averaged accuracy (%). Source: arxiv.org. 20 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Kimi K2 (Thinking) | 96 |
| 2 | GPT-5.5 | 95 |
| 3 | GLM-5.2 | 95 |
| 4 | GLM-4.7 | 95 |
| 5 | Qwen 3.7 Plus | 95 |
| 6 | GPT-5.4 | 93 |
| 7 | Kimi K2.6 | 93 |
| 8 | MiniMax-M2.5 | 93 |
| 9 | MiniMax-M2.1 | 93 |
| 10 | Qwen 3.5 Plus | 93 |
| 11 | Gemini 3.1 Pro (Preview) | 92 |
| 12 | Qwen 3 VL 235B A22B | 91 |
| 13 | Claude Sonnet 4.6 | 90 |
| 14 | Claude Opus 4.7 | 89 |
Interactive version: theaggregate.ai/benchmark?slug=logiscope-vqa-warehouse-commonsense · How It Works · Data refreshed daily, snapshot 2026-09-19.