HoloCount - Complementary Exclusion: leaderboard

Counting the objects that belong to one set but not another: 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 objects in one set but not another (101 questions); higher is better). Source: arxiv.org. Saturation forecast: Around February 2027. 30 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)84.2#94
2Qwen 3.5 397B A17B80.2#246
3Gemini 3 Flash (Preview)80.2#144
4Qwen 3.5 122B A10B79.2#331
5Qwen 3.5 35B A3B78.2#482
6Qwen 3.5 27B76.2#359
7Gemini 2.5 Pro74.3#266
8Kimi K2.674.3#178
9Qwen 3.5 4B70.3#1175
10Qwen 3.5 9B67.3#803
11GPT-5.566.3#49
12Kimi K2.563.4#256
13Claude Opus 4.863.4#56
14GPT-5.461.4#123
15GPT-4.160.4#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-complementary-exclusion · How It Works · Data refreshed daily, snapshot 2026-11-13.