HoloCount - Material Attribution: leaderboard

Counting the objects of a stated material: a subset of HoloCount (Meituan, 2026), a visual counting benchmark for multimodal LLMs. Models answer with a single integer, zero-shot; exact-match accuracy in percent, higher is better.

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 of a stated material (101 questions); higher is better). Source: arxiv.org. Saturation forecast: Not forecast. 30 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 27B85.1#359
2Gemini 3.1 Pro (Preview)84.2#94
3Qwen 3.5 397B A17B83.2#246
4Kimi K2.683.2#178
5Qwen 3.5 35B A3B83.2#482
6Qwen 3.5 122B A10B82.2#331
7Qwen 3.5 9B80.2#803
8Qwen 3.5 4B77.2#1175
9Gemini 3 Flash (Preview)77.2#144
10Gemini 2.5 Pro76.2#266
11GPT-5.576.2#49
12Kimi K2.575.2#256
13Claude Opus 4.875.2#56
14Qwen 2.5 VL 72B Instruct74.3#846
15Claude Opus 4.772.3#79

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=holocount-material-attribution · How It Works · Data refreshed daily, snapshot 2026-11-13.