activeAgents

AndroidWorld

Metric: Accuracy (higher is better)Introduced: 2024

Android mobile-agent benchmark for measuring task completion and GUI automation on Android environments.

Models ranked

5

tracked on this benchmark

Score band

79.3 – 69.7

best → lowest tracked

Snapshot trend

-1.90

Nov 13 → Oct 17 · 1 models

Leaderboard

Tracked models ranked by Accuracy (higher is better).

Compare candidates
#Model variant and provenanceScore
1
Version: AndroidWorld - mobile agentHarness: Not recordedEvaluator: Not recordedObserved: Jun 1, 2026Confidence: Not recordedSource

Notes: H Company (self-reported); medium confidence; yes.

79.3
2
Version: AndroidWorld - mobile agentHarness: Not recordedEvaluator: Not recordedObserved: Nov 13, 2025Confidence: Not recordedSource

Notes: H Company (self-reported); medium confidence; yes.

71.6
3
Version: AndroidWorld - mobile agentHarness: Not recordedEvaluator: Not recordedObserved: Jun 1, 2026Confidence: Not recordedSource

Notes: H Company (self-reported); medium confidence; yes.

71.0
4
Version: AndroidWorld - mobile agentHarness: Not recordedEvaluator: Not recordedObserved: Jun 1, 2026Confidence: Not recordedSource

Notes: H Company (self-reported); medium confidence; yes.

71.0
5

Configuration: Gemini 2.5 Computer Use

Version: AndroidWorld, screenshot-onlyHarness: Gemini Computer Use API with mobile custom functions; AndroidWorld default settingsEvaluator: Google DeepMindObserved: Oct 17, 2026Confidence: self-reportedSource

Notes: Model card table (Gemini 2.5 Computer Use, 10-2025) + additional-info PDF https://storage.googleapis.com/deepmind-media/gemini/computer_use_eval_additional_info.pdf (published 2025-10-07). Measured by Google DeepMind: Computer Use API with mobile custom functions (open_app, long_press_at, go_home), Pixel 6 emulators Android 13, default max steps with fixed RNG, screenshot-only (no a11y tree). Retrieved 2026-10-17.

69.7

How to read this benchmark

This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.

Trust this score when

  • There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
  • The model list covers the same version family you can actually deploy today.
  • Top candidates overlap with your required routing and feature requirements.

Be cautious when

  • There is only one benchmark snapshot or the dataset appears stale.
  • The benchmark metric direction is opposite of your decision objective.
  • The score difference between options is narrow and likely within implementation variance.

Related benchmarks

Last reviewed: Jun 7, 2026

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