multimodal benchmark
Android Control High_EM Leaderboard
Android Control High_EM is an Android device control benchmark for assessing agent performance on mobile interface tasks using a high exact match evaluation metric.
Updated Sep 5, 2026
Models3
Model coverage3
MetricScore
EvidenceB
Android Control High_EM Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score69.60% | Percentile100.00% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score67.36% | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score60.10% | Percentile0.00% | Participants3 | EvidenceC | Evaluated |
Android Control High_EM Highlights
The leading models and scores on this benchmark.
Android Control High_EM Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for Android Control High_EM
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is Android Control High_EM?
What Android Control High_EM measures and how its scores work.
Android Control High_EM is an Android device control benchmark for mobile interface tasks.
It measures agent performance using a high exact match evaluation metric, reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Android Control High_EM
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Android Control High_EM.
Which model scores highest on Android Control High_EM?
Qwen2.5 VL 32B Instruct is currently ranked first with 69.60%.
What are the top three models on Android Control High_EM?
The current leaders are Qwen2.5 VL 32B Instruct (69.60%), Qwen2.5 VL 72B Instruct (67.36%), and Qwen2.5 VL 7B Instruct (60.10%).
Which Android Control High_EM model has the lowest official input price?
Qwen2.5 VL 7B Instruct has the lowest matched official input price at $0.35 input / $1.1 output per 1M tokens.
Which models are fastest among Android Control High_EM results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.