HoloCount - Null-Target Prompting: leaderboard

Questions about objects absent from the image, where the correct count is zero: 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; questions about objects absent from the image, where the correct count is zero (250 questions); higher is better). Source: arxiv.org. Saturation forecast: Not forecast. 30 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 32B Instruct98#585
2Claude Sonnet 4.597.2#250
3Qwen 3 VL 8B Instruct96.4#981
4Claude Opus 4.795.6#79
5Qwen 2.5 VL 7B Instruct95.6#1833
6Kimi K2.695.6#178
7Claude Sonnet 4.695.2#161
8Qwen 2.5 VL 72B Instruct95.2#846
9Claude Opus 4.694.4#102
10Kimi K2.594.4#256
11Qwen 2.5 VL 32B Instruct93.6#1053
12Gemini 2.5 Pro93.4#266
13Qwen 3.5 397B A17B90.8#246
14Qwen 3.5 122B A10B90.8#331
15Claude Opus 4.890.4#56

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

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