WildTableBench - Color-based Counting: leaderboard

Metric: Accuracy (%) on the Color-based Counting subtype (C5-C), 928 human-verified questions over 402 real-world table images, free-form answers judged by GPT-5.2 against the reference answer, high reasoning effort where configurable; higher is better. Source: arxiv.org. Saturation forecast: Around August 2027. 21 models tracked.

Top models

#ModelScore
1Gemini 3 Pro62.5
2Gemini 3 Flash37.5
3Seed 2.0 Pro (High)37.5
4GPT-5.2 (High)30
5Kimi K2.5 (Thinking)27.5
6Qwen 3 VL 32B (Thinking)25
7Claude Opus 4.6 (High)25
8Qwen 3 VL 235B A22B (Thinking)22.5
9Qwen 3 VL 32B Instruct20
10GLM-4.6V17.5
11Claude Sonnet 4.6 (High)17.5
12Qwen 3 VL 235B A22B Instruct15
13GPT-5 Mini (High)15
14Qwen 3 VL 4B (Thinking)12.5
15Qwen 3 VL 8B (Thinking)10

Interactive version: theaggregate.ai/benchmark?slug=wildtablebench-color-based-counting · How It Works · Data refreshed daily, snapshot 2026-10-07.