MuseBench - Cinematic 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 Cinematic-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: Cinematic-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 December 2027. 28 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 Plus68.88#232
2Claude Opus 4.663.26#102
3Qwen 3.5 397B A17B62.65#246
4GPT-5.456.5#123
5InternVL3-78B47.98#738
6InternVL3-8B43.41#1688
7Gemini 3.1 Pro (Preview)43.16#94
8Gemma 4 E4B39.4#2214
9Qwen2.5-Omni-7B36.47#1789
10Kimi K2.523.06#256
11GLM-4.5V16.17#744
12Grok 4.114.19#476

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

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