MLS-Bench (Vanilla) - Vision and Generation: leaderboard

Metric: Mean normalized task score (0-100): each metric is anchored so the worst reproduced human baseline scores 0 and the best 50 (a metric's theoretical optimum maps to 100), metrics are averaged with human weights within a setting and by geometric mean across at least three generalization settings, over the 11 MLS-Bench tasks of the Vision and Generation area; Vanilla protocol: the score of the model's first tested proposal (tools: edit, test, submit, undo); high reasoning effort with a 10,000-token thinking budget, web search disabled, fixed seeds; higher is better. Source: arxiv.org. Saturation forecast: Around 2029. 5 models tracked.

Top models

#ModelScore
1Gemini 3.1 Pro (Preview) (High)21.6
2Qwen 3.6 Plus (Thinking)14.3
3Claude Opus 4.6 (Thinking)12.7
4GPT-5.4 (High)7.4
5DeepSeek V3.2 (Thinking)5.8

Interactive version: theaggregate.ai/benchmark?slug=mls-bench-vanilla-vision-and-generation · How It Works · Data refreshed daily, snapshot 2026-10-07.