multimodal benchmark
Android Control Low_EM Leaderboard
Android Control Low_EM is a multimodal benchmark evaluating autonomous agents on mobile device interaction tasks using low exact match scoring criteria.
Updated Sep 5, 2026
Models3
Model coverage3
MetricScore
EvidenceB
Android Control Low_EM Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score93.70% | Percentile100.00% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score93.30% | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score91.40% | Percentile0.00% | Participants3 | EvidenceC | Evaluated |
Android Control Low_EM Highlights
The leading models and scores on this benchmark.
Android Control Low_EM Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for Android Control Low_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 Low_EM?
What Android Control Low_EM measures and how its scores work.
Android Control Low_EM is a multimodal benchmark for autonomous agents performing mobile device interaction tasks.
It measures Score as a ratio using low exact match scoring criteria.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Android Control Low_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 Low_EM.
Which model scores highest on Android Control Low_EM?
Qwen2.5 VL 72B Instruct is currently ranked first with 93.70%.
What are the top three models on Android Control Low_EM?
The current leaders are Qwen2.5 VL 72B Instruct (93.70%), Qwen2.5 VL 32B Instruct (93.30%), and Qwen2.5 VL 7B Instruct (91.40%).
Which Android Control Low_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 Low_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.