agents benchmark
AndroidBench Leaderboard
AndroidBench evaluates coding agents on Android application development tasks.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
AndroidBench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score75.10% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
AndroidBench Highlights
The leading models and scores on this benchmark.
The Top AI Models for AndroidBench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis androidbench AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACAlibaba Cloud / Qwen Team
- Score
- 75.10%
- Price
- $2.0 input / $6.0 output per 1M tokens
- Speed
- Up to 60.87 tok/s via DeepInfra
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures AndroidBench, not total model capability
Selection summary
Best AI Models for AndroidBench
Qwen3.8 Max currently leads AndroidBench with 75.10%. 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.
What is AndroidBench?
What AndroidBench measures and how its scores work.
AndroidBench is a benchmark for coding agents on Android application development tasks.
It measures performance on Android application development tasks using the Score metric, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- AndroidBench
- Modality
- multimodal
- Primary category
- agents
- 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 AndroidBench.
Which model scores highest on AndroidBench?
Qwen3.8 Max is currently ranked first with 75.10%.
What are the top three models on AndroidBench?
The current leaders are Qwen3.8 Max (75.10%).
Which AndroidBench model has the lowest official input price?
Qwen3.8 Max has the lowest matched official input price at $2.0 input / $6.0 output per 1M tokens.
Which models are fastest among AndroidBench results?
The fastest matched records are Qwen3.8 Max (60.87 tok/s via DeepInfra).
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.