HoloCount - Visual-Prompt Region Grounding: leaderboard

Counting only the objects inside a region marked on the image by a visual prompt such as a box: 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 only inside a region marked on the image by a visual prompt such as a box (102 questions); higher is better). Source: arxiv.org. Saturation forecast: Not forecast. 30 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)86.3#94
2Gemini 3 Flash (Preview)77.5#144
3Qwen 3.5 397B A17B76.5#246
4Qwen 3.5 122B A10B75.5#331
5Qwen 3.5 9B74.5#803
6Gemini 2.5 Pro71.6#266
7Qwen 3.5 27B71.6#359
8Qwen 3.5 35B A3B71.6#482
9Kimi K2.667.6#178
10Qwen 3.5 4B66.7#1175
11Qwen 3 VL 32B Instruct65.7#585
12Qwen 2.5 VL 72B Instruct63.7#846
13GPT-4.161.8#495
14GPT-5.559.8#49
15Qwen 2.5 VL 32B Instruct58.8#1053

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

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