HoloCount - General Semantic Attribution: leaderboard

Counting the objects with a general semantic attribute: 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 with a general semantic attribute (101 questions); higher is better). Source: arxiv.org. Saturation forecast: Not forecast. 30 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)87.1#94
2Gemini 3 Flash (Preview)86.1#144
3Qwen 3.5 27B83.2#359
4Qwen 3.5 35B A3B83.2#482
5Kimi K2.682.2#178
6Qwen 3.5 397B A17B80.2#246
7Qwen 3.5 122B A10B77.2#331
8Qwen 3.5 4B76.2#1175
9Qwen 3.5 9B75.2#803
10Gemini 2.5 Pro71.3#266
11GPT-5.568.3#49
12Kimi K2.568.3#256
13Claude Opus 4.868.3#56
14Qwen 2.5 VL 32B Instruct67.3#1053
15MiniMax-M366.3#269

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

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