PhysCount - Entity NAE: leaderboard

PhysCount (arXiv 2610.40530): 4,595 human-written counting questions on 546 real photos with mirrors and glass, where one physical object can appear several times by reflection or transmission. Normalized absolute error on counting physical objects, merging the appearances of one entity (lower is better).

Metric: Entity normalized absolute error (%). Source: arxiv.org. Saturation forecast: Around 2028. 40 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.7 Flash27.36#24
2Muse Glimmer 30B32.1#191
3Qwen 3.8 27B32.42#123
4Qwen 3.5 397B A17B33.28#154
5Qwen 3.5 35B A3B33.44#268
6Qwen 3.5 122B A10B34.4#184
7Qwen 3.5 27B34.58#192
8Qwen 3.5 9B36.09#391
9GPT-5.6 Terra36.39#40
10GPT-5.6 Sol36.58#22
11Gemma 4 31B (IT)36.88#178
12Molmo2-8B37.5
13GPT-6 Astra37.72#6
14Gemma 4 26B A4B (IT)39.22#293
15Qwen 3.5 4B39.57#514

No result here: #3 Claude Opus 5.5, #7 GPT-6.1 Sol, #9 Gemini 4 Argon.

Interactive version: theaggregate.ai/benchmark?slug=physcount-entity-nae · How It Works · Data refreshed daily, snapshot 2026-11-05.