ChronoVision - Artifact Dating: leaderboard

Artifact dating accuracy on ChronoVision (2026), a temporal reasoning benchmark for vision-language models: the percent of 887 Chinese historical artifact images, from six crafts spanning the Tang to the Qing dynasty, whose dynasty the model names correctly. Higher is better.

Metric: Accuracy (%) on the 887 Chinese historical artifact images (six crafts, Tang to Qing): choose the dynasty; zero-shot; higher is better. Source: arxiv.org. Saturation forecast: Around 2029. 10 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 235B A22B Instruct49.94#522
2Gemini 2.5 Pro44.23#266
3Qwen 2.5 VL 7B Instruct44.01#1833
4GPT-5.240.14#176
5Qwen 3 VL 4B Instruct40.14#1279
6Qwen 3 VL 8B Instruct38.43#981
7GLM-4.1V-9B (Thinking)36.53#1060 (GLM-4.1V-9B)

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

Interactive version: theaggregate.ai/benchmark?slug=chronovision-artifact-dating · How It Works · Data refreshed daily, snapshot 2026-11-13.