General Agents Benchmark

AgentWorldBench Android

AgentWorldBench Android domain - open-ended rubric evaluation for language world models simulating Android device environments. Normalized to 0-100.

Category

General Agents

Score type

percent

Scale

100%

higher is better

Models tested

4

What is AgentWorldBench Android?

AgentWorldBench Android is a benchmark for how well a model acts as a general-purpose agent. The official description says: "AgentWorldBench Android domain - open-ended rubric evaluation for language world models simulating Android device environments". Below we describe in simple words what benchmarks of this type generally examine.

What does it test?

AgentWorldBench Android measures how well a model acts as a general-purpose agent. In detail, it checks:

  • solving long, multi-step tasks with many intermediate decisions
  • using tools correctly (browsers, terminals, APIs, calendars, other apps)
  • adapting when something unexpected happens mid-task
  • staying on goal over long task horizons instead of wandering off

How to read the score

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Official methodology note: AgentWorldBench Android domain - open-ended rubric evaluation for language world models simulating Android device environments. Normalized to 0-100.

Frequently asked questions

What is the AgentWorldBench Android benchmark?

AgentWorldBench Android is a benchmark for how well a model acts as a general-purpose agent. The official description says: 'AgentWorldBench Android domain - open-ended rubric evaluation for language world models simulating Android device environments'. Below we describe in simple words what benchmarks of this type generally examine.

What does AgentWorldBench Android test?

AgentWorldBench Android mainly measures how well a model acts as a general-purpose agent. Concretely, it checks: solving long, multi-step tasks with many intermediate decisions; using tools correctly (browsers, terminals, APIs, calendars, other apps); adapting when something unexpected happens mid-task.

How is the AgentWorldBench Android score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get AgentWorldBench Android data and scores?

The official source is https://huggingface.co/Qwen/Qwen-AgentWorld-35B-A3B. The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/agentworldbench-android/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 4 models tested

Reset
# Model Score Date Source Verified
1 Kimi K2.6
Moonshot AI
58.93%
24.06.2026 Qwen Team (official model card - comparison) Unverified
2 Qwen-AgentWorld-35B-A3B
Qwen Team (Alibaba Cloud)
58.17%
24.06.2026 Qwen Team (official model card) Verified
3 DeepSeek-V4-Pro
DeepSeek
55.17%
24.06.2026 Qwen Team (official model card - comparison) Unverified
4 Qwen3.5-35B-A3B
Qwen Team (Alibaba Cloud)
53.18%
24.06.2026 Qwen Team (official model card - comparison) Unverified

What now?

You've seen how models score on AgentWorldBench Android — here's what to do next.