multimodal benchmark
AndroidWorld_SR is a multimodal benchmark for autonomous agents operating on Android devices across 116 programmatic tasks in 20 real-world Android apps.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score71.10% | Percentile100.00% | Participants8 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score66.40% | Percentile85.71% | Participants8 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score64.20% | Percentile71.43% | Participants8 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score63.70% | Percentile57.14% | Participants8 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score63.70% | Percentile42.86% | Participants8 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score35.00% | Percentile28.57% | Participants8 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score25.50% | Percentile14.29% | Participants8 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score22.00% | Percentile0.00% | Participants8 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What AndroidWorld_SR measures and how its scores work.
AndroidWorld_SR is the AndroidWorld Success Rate (SR) benchmark, published at ICLR 2025, using screen screenshots, accessibility trees, and natural language instructions to evaluate autonomous agents on Android devices.
It measures agents' success rate in completing tasks such as sending messages, creating calendar events, and navigating mobile interfaces; its metric is Score with unit ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about AndroidWorld_SR.
Qwen3.5-35B-A3B is currently ranked first with 71.10%.
The current leaders are Qwen3.5-35B-A3B (71.10%), Qwen3.5-122B-A10B (66.40%), and Qwen3.5-27B (64.20%).
Qwen3.5-35B-A3B has the lowest matched official input price at $0.25 input / $2.0 output per 1M tokens.
No matched runtime record is currently available.
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures agents' success rate in completing tasks such as sending messages, creating calendar events, and navigating mobile interfaces; its metric is Score with unit ratio.
Yes. Higher values rank better for this benchmark.
8 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis androidworld_sr AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Qwen3.5-35B-A3B currently leads AndroidWorld_SR with 71.10%. 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.