MuseBench - Single-Select (Overall): leaderboard

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 2029. 28 models tracked.

Top models

#ModelScore
1Qwen 3.5 Plus58.52
2Claude Opus 4.655.13
3Qwen 3.5 397B A17B53.42
4GPT-5.450.28
5InternVL3-78B47.03
6Gemini 3.1 Pro (Preview)43.77
7Qwen2.5-Omni-7B30.71
8InternVL3-8B29.49
9Gemma 4 E4B28.67
10Kimi K2.518.33
11Grok 4.113.71
12GLM-4.5V5.43

Interactive version: theaggregate.ai/benchmark?slug=musebench-single-select-overall · How It Works · Data refreshed daily, snapshot 2026-09-29.