Seeing Culture - VQA Accuracy: leaderboard

Seeing Culture Benchmark (EMNLP 2025) tests cultural visual reasoning over 1,065 images of Southeast Asian cultural artifacts; this board reports overall multiple-choice VQA accuracy.

Metric: Overall Accuracy (%). Source: seeingculture-benchmark.github.io. Saturation forecast: Estimated already saturated. 10 models tracked.

Top models

#ModelScoreOverall rank
1O385.15#124
2Gemini 2.5 Pro82.88#152
3GPT-4.181.97#248
4Qwen 2.5 VL 7B53.78#643

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=seeing-culture-vqa-accuracy · How It Works · Data refreshed daily, snapshot 2026-10-20.