HoloCount: leaderboard

HoloCount (Meituan, 2026) is a visual counting benchmark for multimodal LLMs with 2,480 questions in 20 subsets that span semantic counting, analytical counting and robustness tests. Models answer with a single integer, zero-shot; exact-match accuracy in percent over all questions, higher is better.

Metric: Overall 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, over all 2,480 questions in the 20 subsets; higher is better). Source: arxiv.org. Saturation forecast: Not forecast. 30 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 397B A17B76.9#246
2Qwen 3.5 27B75.9#359
3Qwen 3.5 122B A10B75.4#331
4Qwen 3.5 35B A3B75#482
5Gemini 3 Flash (Preview)74.8#144
6Gemini 3.1 Pro (Preview)74.7#94
7Kimi K2.673#178
8Qwen 3.5 9B71.4#803
9Kimi K2.568.8#256
10Qwen 3.5 4B68.6#1175
11Gemini 2.5 Pro67.9#266
12GPT-5.567.6#49
13Claude Opus 4.762.8#79
14Qwen 3 VL 32B Instruct62.7#585
15Claude Opus 4.862.6#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 · How It Works · Data refreshed daily, snapshot 2026-11-13.