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HomeBenchmarksmultimodalAndroid Control Low_EM

multimodal benchmark

Android Control Low_EM

Android control benchmark evaluating autonomous agents on mobile device interaction tasks with low exact match scoring criteria

Updated Aug 7, 2026

Published models3
Registry coverage3
MetricScore
EvidenceB

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  • Distribution
  • Highlights
  • About
  • FAQ

Android Control Low_EM leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

3 rows
Columns

Show columns

1ACQwen2.5 VL 72B InstructAlibaba Cloud / Qwen Team93.7%100.0%3CAug 7, 2026
2ACQwen2.5 VL 32B InstructAlibaba Cloud / Qwen Team93.3%50.0%3CAug 7, 2026
3ACQwen2.5 VL 7B InstructAlibaba Cloud / Qwen Team91.4%0.0%3CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

Android Control Low_EM

Android Control Low_EM highlights

The top published results on this benchmark's own scale.

Rank #1Qwen2.5 VL 72B Instruct93.7%Rank #2Qwen2.5 VL 32B Instruct93.3%Rank #3Qwen2.5 VL 7B Instruct91.4%

What is Android Control Low_EM?

Definition and scoring fields from the benchmark registry.

Android control benchmark evaluating autonomous agents on mobile device interaction tasks with low exact match scoring criteria

Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.

Family
Android Control Low_EM
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
No
Evaluation key
android-control-low-em|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

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 93.7%.

What does Android Control Low_EM measure?

Android control benchmark evaluating autonomous agents on mobile device interaction tasks with low exact match scoring criteria

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

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