Mobile · Computer · Web

MAI-Gym

One open, all-in-one platform to evaluate and train GUI agents.

78.4%
MobileWorld
76.2%
OSWorld-Verified
10
Benchmarks
20K
Parallel envs

Open research resources

  • Training & evaluation infra
  • App & task synthesis skills
  • 49 resettable apps
  • 2,000 synthetic tasks
  • MAI-Gym-9B checkpoint

01Platform

One rollout path. Three workloads.

02Overview

Evaluate, Diagnose, Synthesize, Retrain.

Overview of MAI-Gym: online mobile and computer environments, its four core capabilities, and success rates of MAI-Gym-9B.
Overview of MAI-Gym. Left: online GUI environments. Center: core capabilities. Bottom: the evaluate → diagnose → synthesize → retrain loop. Right: MAI-Gym-9B against models of various sizes.
Open releaseFrameworkSynthesis skills49 mocked apps2,000 verified tasksMAI-Gym-9B weights

03Real-world clones

Mocked Apps: Our Clones vs. the Real Ones

Real appMAI-Gym mock

Drag across the phone to compare the real app with its mock. Arrow keys move in small steps; Home and End reveal one full image.

04Novel apps

Mocked Apps: 42 Novel Apps

05Main results

MAI-Gym-9B leads open GUI agents under 10B.

ModelSizeAccessMobileComputer
Task OODEnv OODTask OODEnv OOD
MobileWorldGUI-onlyAndroidWorldMobileGymOSWorld-VerifiedOSWorld 2.0MacAgentBenchMyPCBench
Frontier models
Claude Opus 4.8–API69.275.050.783.420.3/54.858.462.0
GPT-5.5–API62.474.148.178.713.9/47.566.747.3
Qwen3.8-Max2.4T-A95BAPI77.885.361.386.119.4/46.774.348.6
Qwen3.8-27B27BOpen70.181.957.584.319.4/48.065.428.5
GUI agent models
GUI-Owl-1.5-8B8BOpen38.271.615.152.90.0/1.610.21.8
GUI-Owl-1.5-32B32BOpen43.969.820.356.50.9/2.517.26.3
UI-Venus-2-9B9BOpen75.280.252.770.80.0/7.536.26.3
SCALECUA-Qwen3.5-9B9BOpen12.847.413.568.70.0/2.23.91.1
Qwen-CUA397B-A17BOpen–––86.218.5/48.469.258.7
Ours
Qwen3.5-9B base model9BOpen18.057.89.041.80.0/2.520.76.5
MAI-Gym-9B9BOpen78.475.946.576.23.7/11.341.315.2
(+60.4)(+18.1)(+37.5)(+34.4)(+3.7/+8.8)(+20.6)(+8.7)

Citation

BibTeX
@article{maigym2026,
  title   = {MAI-Gym: An Open All-in-One Platform for GUI Agent Evaluation
             and RL Training across Mobile and Computer Environments},
  author  = {Panrong Tong and Quyu Kong and Pengxiang Li and Tianyu Xia and
             Hanzhang Zhou and Lei Wang and Chenglin Cai and Long Li and Long Chen and
             Jianan Zhang and Zhengwen Zeng and Xu Zhang and Gongjie Zhang and
             Yue Wang and Steven Hoi},
  journal = {arXiv preprint arXiv:2610.20939},
  year    = {2026},
  url     = {https://arxiv.org/abs/2610.20939}
}
MAI-Gym demo3 min · narrated walkthrough
0 steps

Task

About this app

All 20 tasks