Benchmark Almanac

MobileMiniWoB++

Qwen2.5-VL-72B 68% Dropped

Agents complete MiniWoB++ web tasks inside the Android emulator of AndroidWorld. Scored by task success rate.

Runs as the miniwob suite of AndroidWorld. MiniWoB++ itself comes from Liu et al. 2018.

Made by Google Research (AndroidWorld team) Released May 2024 Phones All tasks public Last in a launch post Jan 2025 , dropped before it saturated Last model added Feb 2025
Level
Everyday Most adults, without training
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Agent task Many steps in a terminal, browser, desktop, app, game or robot.
1
Model scored in lab cards
1
Launch post lists it, from 1 lab
1
System card reports it, from 1 lab

Qwen2.5-VL-72B leads with 68%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

  1. 1 Qwen2.5-VL-72B 68%
#ModelScoreSettingDateSource
1 Qwen2.5-VL-72B 68% Jan 2025 Model card

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) Qwen2.5-VL-72B 0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) Qwen2.5-VL-72B

No launch post has listed it since Jan 2025

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Qwen
DateLaunch postScoreAs the post writes it
28 Jan 2025 Qwen2.5-VL-72B 68 MobileMiniWob++_SR

One system card reports it

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
19 Feb 2025 Qwen2.5-VL-72B technical report 68 MobileMiniWob++ SR (Table 9) Capabilities

More in Computer and browser use

All 56 in Computer and browser use
  • BrowseComp In use Hard-to-find facts that need persistent web browsing. Short verifiable answers graded for exact correctness. Claude Fable 5 93.3%
  • ScreenSpot-Pro In use GUI grounding on high-resolution professional-software screenshots. The model must locate the target UI element. GPT-6 Astra 92.7%
  • AndroidWorld In use Agents complete 116 tasks across 20 real Android apps in an emulator. Each task checks the device's system state to judge success. GPT-6 Astra 100%
  • OSWorld 2.1 In use Agents complete 108 long-horizon workflows across 31 self-hosted websites and desktop apps, averaging 318 tool calls. Scored by binary completion and checkpoint partial credit. Claude Opus 5.5 81.8%
  • WebArena-Verified In use Agents complete 812 audited WebArena tasks on self-hosted websites. Deterministic evaluators check the agent's answer and captured network traces. Muse Spark 1.1 69%
  • MobileWorld In use Agents complete 201 tasks across 20 mobile apps, including tasks that need user clarification or MCP tools. Backend checks verify success. Kimi K3 74.4%