multimodal benchmark
AndroidWorld Success Rate (SR) benchmark - A dynamic benchmarking environment for autonomous agents operating on Android devices. Evaluates agents on 116 programmatic tasks across 20 real-world Android apps using multimodal inputs (screen screenshots, accessibility trees, and natural language instructions). Measures success rate of agents completing tasks like sending messages, creating calendar events, and navigating mobile interfaces. Published at ICLR 2025. Best current performance: 30.6% success rate (M3A agent) vs 80.0% human performance.
Updated Aug 17, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score71.1% | Percentile100.0% | Participants8 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score66.4% | Percentile85.7% | Participants8 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score64.2% | Percentile71.4% | Participants8 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score63.7% | Percentile57.1% | Participants8 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score63.7% | Percentile42.9% | Participants8 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score35.0% | Percentile28.6% | Participants8 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score25.5% | Percentile14.3% | Participants8 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score22.0% | Percentile0.0% | 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.
Ranking basisThis androidworld_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.
Selection summary
Qwen3.5-35B-A3B currently leads AndroidWorld_SR with 71.1%. 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 AndroidWorld_SR measures and how its scores work.
AndroidWorld Success Rate (SR) benchmark - A dynamic benchmarking environment for autonomous agents operating on Android devices. Evaluates agents on 116 programmatic tasks across 20 real-world Android apps using multimodal inputs (screen screenshots, accessibility trees, and natural language instructions). Measures success rate of agents completing tasks like sending messages, creating calendar events, and navigating mobile interfaces. Published at ICLR 2025. Best current performance: 30.6% success rate (M3A agent) vs 80.0% human performance.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
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 71.1%.
AndroidWorld Success Rate (SR) benchmark - A dynamic benchmarking environment for autonomous agents operating on Android devices. Evaluates agents on 116 programmatic tasks across 20 real-world Android apps using multimodal inputs (screen screenshots, accessibility trees, and natural language instructions). Measures success rate of agents completing tasks like sending messages, creating calendar events, and navigating mobile interfaces. Published at ICLR 2025. Best current performance: 30.6% success rate (M3A agent) vs 80.0% human performance.
Yes. Higher values rank better for this benchmark.
8 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.