MuseBench - Static Visual Arts (Single-Select): leaderboard

MuseBench evaluates intent-level audiovisual-arts understanding in multimodal models over 4,016 questions from video essays in four art categories (cinematic, static visual, stage performing, game arts), with single-select and multi-select framings. This board reports Static-visual-arts chance-adjusted accuracy (%): raw single-select accuracy minus the per-item chance baseline, rescaled so random guessing scores 0 and a correct answer 1; a negative value is worse than chance; higher is better.

Metric: Static-visual-arts chance-adjusted accuracy (%): raw single-select accuracy minus the per-item chance baseline, rescaled so random guessing scores 0 and a correct answer 1; a negative value is worse than chance; higher is better. Source: arxiv.org. Saturation forecast: Around September 2027. 28 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 Plus64.36#232
2Claude Opus 4.658.51#102
3Qwen 3.5 397B A17B57.45#246
4GPT-5.454.24#123
5InternVL3-78B48.79#738
6Gemini 3.1 Pro (Preview)42.7#94
7Qwen2.5-Omni-7B40.76#1789
8InternVL3-8B36.23#1688
9Gemma 4 E4B32.55#2214
10Kimi K2.524.05#256
11Grok 4.119.7#476
12GLM-4.5V-2.97#744

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

Interactive version: theaggregate.ai/benchmark?slug=musebench-static-visual-arts-single-select · How It Works · Data refreshed daily, snapshot 2026-11-13.