LogiScope-VQA - Fire Monitoring: leaderboard
Metric: Micro-averaged accuracy (%). Source: arxiv.org. 20 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Kimi K2.6 | 85 |
| 2 | GPT-5.4 | 84 |
| 3 | Qwen 3.5 Plus | 84 |
| 4 | Qwen 3.7 Plus | 83 |
| 5 | Gemini 3.1 Pro (Preview) | 82 |
| 6 | GPT-5.5 | 82 |
| 7 | Claude Opus 4.7 | 82 |
| 8 | Claude Sonnet 4.6 | 76 |
| 9 | Qwen 3 VL 235B A22B | 73 |
| 10 | GLM-5.2 | 45 |
| 11 | MiniMax-M2.1 | 43 |
| 12 | MiniMax-M2.5 | 41 |
| 13 | GLM-4.7 | 40 |
| 14 | Kimi K2 (Thinking) | 30 |
Interactive version: theaggregate.ai/benchmark?slug=logiscope-vqa-fire-monitoring · How It Works · Data refreshed daily, snapshot 2026-09-19.