MuseBench - Single-Select (Overall): 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 Overall 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: Overall 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 November 2027. 28 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 Plus58.52#232
2Claude Opus 4.655.13#102
3Qwen 3.5 397B A17B53.42#246
4GPT-5.450.28#123
5InternVL3-78B47.03#738
6Gemini 3.1 Pro (Preview)43.77#94
7Qwen2.5-Omni-7B30.71#1789
8InternVL3-8B29.49#1688
9Gemma 4 E4B28.67#2214
10Kimi K2.518.33#256
11Grok 4.113.71#476
12GLM-4.5V5.43#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-single-select-overall · How It Works · Data refreshed daily, snapshot 2026-11-13.