MobileJudgeBench (AgentRewardBench Judge): leaderboard

Metric: Judge accuracy (%; share of 931 human-annotated mobile-agent trajectories, from 6 benchmarks, 4 agent models and 68 apps, whose success or failure the judge classifies correctly; the AgentRewardBench judge adapted to mobile trajectories, greedy decoding). Source: arxiv.org. Saturation forecast: Estimated already saturated. 5 models tracked.

Top models

#ModelScore
1Gemini 3 Flash (Preview)89.3
2Claude Sonnet 4.587.2
3GLM-4.6V86.1
4Qwen 2.5 VL 72B Instruct84.9
5GPT-5 Mini82.8

Interactive version: theaggregate.ai/benchmark?slug=mobilejudgebench-agentrewardbench-judge · How It Works · Data refreshed daily, snapshot 2026-09-26.