MuseBench - Static Visual Arts (Multi-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 exact-match accuracy (%) on multi-select questions; higher is better.

Metric: Static-visual-arts exact-match accuracy (%) on multi-select questions; higher is better. Source: arxiv.org. Saturation forecast: Around 2034. 28 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.630.38#102
2InternVL3-8B27.69#1688
3GPT-5.427.15#123
4Qwen 3.5 397B A17B23.12#246
5Qwen 3.5 Plus18.82#232
6InternVL3-78B18.01#738
7Qwen2.5-Omni-7B17.47#1789
8Gemini 3.1 Pro (Preview)16.4#94
9Gemma 4 E4B13.17#2214
10Grok 4.110.48#476
11GLM-4.5V9.14#744
12Kimi K2.52.69#256

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-multi-select · How It Works · Data refreshed daily, snapshot 2026-11-13.