HoloCount - Atomic Counting: leaderboard

Counting the objects of one category, from LVIS images: 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; atomic counting of one object category (182 questions); higher is better). Source: arxiv.org. Saturation forecast: Not forecast. 30 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)95.1#94
2Gemini 3 Flash (Preview)93.4#144
3Qwen 3.5 397B A17B92.9#246
4Qwen 3.5 27B90.7#359
5Qwen 3.5 35B A3B90.7#482
6Qwen 3.5 122B A10B90.7#331
7Kimi K2.589#256
8Kimi K2.689#178
9Qwen 3.5 9B86.8#803
10GPT-5.584.6#49
11Gemini 2.5 Pro84.1#266
12Qwen 3 VL 32B Instruct84.1#585
13Claude Opus 4.882.4#56
14Qwen 3.5 4B80.8#1175
15Qwen 2.5 VL 72B Instruct80.8#846

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

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