ChartJudgeBench - Chart Perception Alignment: leaderboard

Chart Perception Alignment from ChartJudgeBench (Wu et al., 2026) tests large multimodal models as judges for chart-to-code output: given an original chart and a copy with one injected flaw, the judge must pick the better chart. Each of 1,003 human-filtered pairs is judged twice with the order swapped and counts only if both answers are right; the score is the unweighted mean accuracy in percent over seven flaw types, higher is better.

Metric: Pairwise judging accuracy (%; unweighted mean of the seven flaw-criterion accuracies; two-pass position-swapped protocol: each of ChartJudgeBench's 1,003 human-filtered chart pairs (an original chart and a copy with one injected flaw) is judged twice with the order reversed and counts as correct only if the judge picks the better chart both times; temperature 0.1). Source: arxiv.org. Saturation forecast: Estimated already saturated. 26 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro95#135
2GPT-5.279.7#172
3Qwen 3 VL 32B Instruct68.9#582
4Qwen 2.5 VL 72B Instruct56.1#845
5Claude Sonnet 4.553.6#244
6Qwen 3 VL 8B Instruct40.2#982
7Qwen 2 VL 72B Instruct35.1#1403
8Qwen 3 VL 30B A3B (Thinking)32#710
9Qwen 2 VL 7B Instruct14.4#2569
10Qwen 2.5 VL 7B Instruct4.9#1842

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=chartjudgebench-chart-perception-alignment · How It Works · Data refreshed daily, snapshot 2026-11-12.