multimodal benchmark
MobileMiniWob++_SR Leaderboard
MobileMiniWob++ SR (Success Rate) is an adaptation of the MiniWob++ web interaction benchmark for mobile Android environments within AndroidWorld. It comprises 92 web interaction tasks adapted for touch-based mobile interfaces, evaluating agents' ability to navigate and interact with web applications on mobile devices.
Updated Aug 17, 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 | Score91.4% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score68.0% | Percentile0.0% | 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.
Ranking basisThis mobileminiwob++_sr AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACQwen2.5 VL 7B InstructAlibaba Cloud / Qwen Team
- Score
- 91.4%
- Price
- $0.35 input / $1.1 output per 1M tokens
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MobileMiniWob++_SR, not total model capability
- 02ACQwen2.5 VL 72B InstructAlibaba Cloud / Qwen Team
- Score
- 68.0%
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures MobileMiniWob++_SR, not total model capability
Selection summary
Best AI Models for MobileMiniWob++_SR
Qwen2.5 VL 7B Instruct currently leads MobileMiniWob++_SR with 91.4%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is MobileMiniWob++_SR?
What MobileMiniWob++_SR measures and how its scores work.
MobileMiniWob++ SR (Success Rate) is an adaptation of the MiniWob++ web interaction benchmark for mobile Android environments within AndroidWorld. It comprises 92 web interaction tasks adapted for touch-based mobile interfaces, evaluating agents' ability to navigate and interact with web applications on mobile devices.
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
- mobileminiwob++-sr|llm-stats-current
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 91.4%.
What does MobileMiniWob++_SR measure?
MobileMiniWob++ SR (Success Rate) is an adaptation of the MiniWob++ web interaction benchmark for mobile Android environments within AndroidWorld. It comprises 92 web interaction tasks adapted for touch-based mobile interfaces, evaluating agents' ability to navigate and interact with web applications on mobile devices.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.