LogiScope-VQA - Overall: leaderboard
Metric: Micro-averaged accuracy (%). Source: arxiv.org. 20 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.5 | 71 |
| 2 | Claude Opus 4.7 | 70 |
| 3 | Qwen 3.5 Plus | 70 |
| 4 | GPT-5.4 | 69 |
| 5 | Gemini 3.1 Pro (Preview) | 68 |
| 6 | Qwen 3.7 Plus | 66 |
| 7 | Claude Sonnet 4.6 | 64 |
| 8 | Qwen 3 VL 235B A22B | 64 |
| 9 | Kimi K2.6 | 62 |
| 10 | GLM-5.2 | 53 |
| 11 | Kimi K2 (Thinking) | 49 |
| 12 | GLM-4.7 | 48 |
| 13 | MiniMax-M2.5 | 46 |
| 14 | MiniMax-M2.1 | 43 |
Interactive version: theaggregate.ai/benchmark?slug=logiscope-vqa-overall · How It Works · Data refreshed daily, snapshot 2026-09-19.