HoloCount - General Semantic Attribution: leaderboard
Metric: Accuracy (%; exact-match accuracy of the single integer count a multimodal model returns zero-shot for an image and a counting question, with a strict integer-only system prompt; counting objects with a general semantic attribute (101 questions); higher is better). Source: arxiv.org. Saturation forecast: Around March 2027. 30 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 87.1 |
| 2 | Gemini 3 Flash (Preview) | 86.1 |
| 3 | Qwen 3.5 35B A3B | 83.2 |
| 4 | Qwen 3.5 27B | 83.2 |
| 5 | Kimi K2.6 | 82.2 |
| 6 | Qwen 3.5 397B A17B | 80.2 |
| 7 | Qwen 3.5 122B A10B | 77.2 |
| 8 | Qwen 3.5 4B | 76.2 |
| 9 | Qwen 3.5 9B | 75.2 |
| 10 | Gemini 2.5 Pro | 71.3 |
| 11 | GPT-5.5 | 68.3 |
| 12 | Kimi K2.5 | 68.3 |
| 13 | Claude Opus 4.8 | 68.3 |
| 14 | Qwen 2.5 VL 32B Instruct | 67.3 |
| 15 | MiniMax-M3 | 66.3 |
Interactive version: theaggregate.ai/benchmark?slug=holocount-general-semantic-attribution · How It Works · Data refreshed daily, snapshot 2026-09-29.