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multimodal benchmark

AndroidWorld_SR Leaderboard

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

Models8
Model coverage8
MetricScore
EvidenceB

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  • FAQ

AndroidWorld_SR Ranking

Higher score ranks better on this benchmark.

8 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore71.10%Percentile100.00%Participants8EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore66.40%Percentile85.71%Participants8EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore64.20%Percentile71.43%Participants8EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen TeamScore63.70%Percentile57.14%Participants8EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen TeamScore63.70%Percentile42.86%Participants8EvidenceCEvaluatedSep 8, 2026
Rank06ModelACQwen2.5 VL 72B InstructAlibaba Cloud / Qwen TeamScore35.00%Percentile28.57%Participants8EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen2.5 VL 7B InstructAlibaba Cloud / Qwen TeamScore25.50%Percentile14.29%Participants8EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen2.5 VL 32B InstructAlibaba Cloud / Qwen TeamScore22.00%Percentile0.00%Participants8EvidenceCEvaluatedSep 8, 2026

AndroidWorld_SR Highlights

The leading models and scores on this benchmark.

AndroidWorld_SR Score Distribution

A closer view of the leading scores on this benchmark.

AndroidWorld_SR

The Top AI Models for AndroidWorld_SR

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is AndroidWorld_SR?

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.

Family
AndroidWorld_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 AndroidWorld_SR.

Which model scores highest on AndroidWorld_SR?

Qwen3.5-35B-A3B is currently ranked first with 71.10%.

What are the top three models on AndroidWorld_SR?

The current leaders are Qwen3.5-35B-A3B (71.10%), Qwen3.5-122B-A10B (66.40%), and Qwen3.5-27B (64.20%).

Which AndroidWorld_SR model has the lowest official input price?

Qwen3.5-35B-A3B has the lowest matched official input price at $0.25 input / $2.0 output per 1M tokens.

Which models are fastest among AndroidWorld_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.

What does AndroidWorld_SR measure?

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.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

8 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.

Rank #1Qwen3.5-35B-A3B71.10%
Rank #2Qwen3.5-122B-A10B66.40%
Rank #3Qwen3.5-27B64.20%
Rank #4Qwen3 VL 235B A22B Instruct63.70%

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.

  1. 01
    AC
    Qwen3.5-35B-A3BAlibaba Cloud / Qwen Team
    Score
    71.10%
    Price
    $0.25 input / $2.0 output per 1M tokens

    Strengths

    • Ranks #1 of 8 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AndroidWorld_SR, not total model capability
  2. 02
    AC
    Qwen3.5-122B-A10BAlibaba Cloud / Qwen Team
    Score
    66.40%
    Price
    $0.40 input / $3.2 output per 1M tokens

    Strengths

    • Ranks #2 of 8 compared models
    • 86th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AndroidWorld_SR, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    64.20%
    Price
    $0.30 input / $2.4 output per 1M tokens

    Strengths

    • Ranks #3 of 8 compared models
    • 71th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AndroidWorld_SR, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    63.70%

    Strengths

    • Ranks #4 of 8 compared models
    • 57th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AndroidWorld_SR, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    63.70%

    Strengths

    • Ranks #5 of 8 compared models
    • 43th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AndroidWorld_SR, not total model capability

Selection summary

Best AI Models for AndroidWorld_SR

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.

Qwen3.5-27B
Qwen3 VL 235B A22B Instruct
Qwen3 VL 32B Thinking
Benchmark rank #1Qwen3.5-35B-A3B71.10% · $0.25 input / $2.0 output per 1M tokens
Benchmark rank #2Qwen3.5-122B-A10B66.40% · $0.40 input / $3.2 output per 1M tokens
Benchmark rank #3Qwen3.5-27B64.20% · $0.30 input / $2.4 output per 1M tokens