MuseBench - Game 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 Game-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: Game-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 February 2028. 28 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 Plus38.8#232
2Gemini 3.1 Pro (Preview)38.72#94
3Qwen 3.5 397B A17B35.79#246
4Claude Opus 4.634.07#102
5GPT-5.432#123
6InternVL3-78B31.59#738
7Gemma 4 E4B10.3#2214
8Qwen2.5-Omni-7B8.31#1789
9InternVL3-8B6.66#1688
10Grok 4.13.2#476
11Kimi K2.50.35#256
12GLM-4.5V-4.34#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-game-arts-single-select · How It Works · Data refreshed daily, snapshot 2026-11-13.