multimodal benchmark
MobileMiniWob++_SR Leaderboard
MobileMiniWob++_SR is an adaptation of the MiniWob++ web interaction benchmark for mobile Android environments within AndroidWorld.
Updated Sep 5, 2026
Models2
Model coverage2
MetricScore
EvidenceB
MobileMiniWob++_SR Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score91.40% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score68.00% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
MobileMiniWob++_SR Highlights
The leading models and scores on this benchmark.
MobileMiniWob++_SR Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MobileMiniWob++_SR
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is MobileMiniWob++_SR?
What MobileMiniWob++_SR measures and how its scores work.
A multimodal benchmark comprising 92 web interaction tasks adapted for touch-based mobile interfaces.
It measures agents' ability to navigate and interact with web applications on mobile devices using Success Rate (Score, ratio).
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MobileMiniWob++_SR
- 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 MobileMiniWob++_SR.
Which model scores highest on MobileMiniWob++_SR?
Qwen2.5 VL 7B Instruct is currently ranked first with 91.40%.
What are the top three models on MobileMiniWob++_SR?
The current leaders are Qwen2.5 VL 7B Instruct (91.40%) and Qwen2.5 VL 72B Instruct (68.00%).
Which MobileMiniWob++_SR 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 MobileMiniWob++_SR 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.