HoloCount - Joint-Set Aggregation: leaderboard

Giving the total count of objects from several categories: 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; the total count of objects from several categories (100 questions); higher is better). Source: arxiv.org. Saturation forecast: Not forecast. 30 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)82#94
2Qwen 3.5 122B A10B82#331
3Qwen 3.5 27B79#359
4Qwen 3.5 397B A17B78#246
5Qwen 3.5 35B A3B77#482
6Gemini 3 Flash (Preview)77#144
7Qwen 3.5 4B71#1175
8Qwen 3.5 9B69#803
9Kimi K2.668#178
10Kimi K2.567#256
11Gemini 2.5 Pro65#266
12Claude Opus 4.762#79
13Qwen 2.5 VL 72B Instruct61#846
14GPT-5.560#49
15Claude Opus 4.858#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-joint-set-aggregation · How It Works · Data refreshed daily, snapshot 2026-11-13.