EvoGUI-Bench - Successor Discrimination: leaderboard

Metric: Pairwise successor accuracy (%; share of 1,000 items in which the model picks the logged next screen over a cross-trajectory, same-domain or later-step distractor; on EvoGUI-Bench, 3,000 zero-shot visual question answering probes mined from Mind2Web and WebLINX web trajectories across 120 domains, screenshots at max_image_side 512, temperature 0; higher is better). Source: arxiv.org. Saturation forecast: Around September 2027. 28 models tracked.

Top models

#ModelScore
1Gemini 3 Flash (Preview)83.6
2Doubao-Seed-2.0-Pro-26021580.9
3Kimi K2.679.4
4Qwen 3.5 122B A10B77.8
5GLM-5V Turbo76.9
6Kimi K2.576.3
7MiMo-V2.576.1
8GPT-5.475.4
9Qwen 3.5 35B A3B74.7
10Qwen 3.6 35B A3B74.7
11Qwen 3.5 27B74.1
12GPT-5.4 Nano73.5
13Qwen 3.6 27B72.6
14Grok 4.2072.3
15Qwen 3.5 2B71.3

Interactive version: theaggregate.ai/benchmark?slug=evogui-bench-successor-discrimination · How It Works · Data refreshed daily, snapshot 2026-09-29.