HoloCount - High-Density Enumeration: leaderboard

Counting densely packed synthetic symbols on a blank canvas: 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 densely packed synthetic symbols on a blank canvas (100 questions); higher is better). Source: arxiv.org. Saturation forecast: Around April 2027. 30 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)49#94
2GPT-5.520#49
3Qwen 3.5 27B20#359
4Qwen 3.5 397B A17B14#246
5Gemini 3 Flash (Preview)12#144
6Qwen 3.5 122B A10B9#331
7GPT-5.48#123
8Qwen 3.5 35B A3B5#482
9Claude Opus 4.74#79
10Kimi K2.64#178
11Qwen 3.5 9B3#803
12Kimi K2.53#256
13Qwen 3 VL 32B Instruct3#585
14Claude Sonnet 4.52#250
15GPT-4.12#495

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

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