PhAIL DROID: Everyday tasks
Policies run 286 language-instructed tabletop tasks worded as DROID annotations on a real Franka FR3. Operators mark stages reached within 240 seconds.
Reliability comes from an item-response ranking model fitted over all tasks, with bootstrap 95% ranges. Top on 2026-10-29: Cosmos3 Nano 69.1. Absent from a June 2026 snapshot.
- Level
- Everyday Most adults, without training
- Scored
- Graded by people Human experts grade or compare the outputs.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
Cosmos3 Nano tops the leaderboard with 69.1%
Best score per entry from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders. The best model we track is MolmoAct 2, at 46.6%.
The newest model with a score here came out in May 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 1 Cosmos3 Nano 69.1%
- 2 FLUX 3 Action 62.8%
- 3
MolmoAct 2 46.6%
- 4 G0.5 38.9%
- 5
GR00T N1.7 35.9%
- 6 π0.5 12%
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Cosmos3 Nano | 69.1% | Official leaderboard | ||
| 2 | FLUX 3 Action | 62.8% | Official leaderboard | ||
| 3 | | 46.6% | May 2026 | Official leaderboard | |
| 4 | G0.5 | 38.9% | Official leaderboard | ||
| 5 | | 35.9% | Apr 2026 | Official leaderboard | |
| 6 | π0.5 | 12% | Apr 2025 | Official leaderboard |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
More in Robotics
- ERQA In use 400 multiple-choice visual questions from robot and egocentric footage on spatial, trajectory, action and state reasoning. Accuracy.
Gemini Robotics ER 2 78.5%
- RoboLab In use Zero-shot DROID Franka policies in Isaac Lab on 120 tabletop tasks at three instruction levels, 10 episodes each. Success rate.
GR00T N1.7 8.58%
- Human proximity (Google DeepMind robotics) In use Models judge from robot camera views whether a human is within 1 meter, a spatial awareness check for safe robot behavior. Scored by accuracy.
Gemini Robotics ER 2 93%
- Moment finding (Google DeepMind) In use Models find the moment in a robot video when an event happens. Scored by accuracy and mean absolute time distance in seconds.
Gemini Robotics ER 2 91.3%
- Progress classification (Google DeepMind) In use Models assign each frame of a robot video to one of five task-progress bands from 0 to 100 percent. Scored by accuracy.
Gemini Robotics ER 2 57.4%
- LIBERO Fading Simulated Franka tabletop tasks in four 10-task suites. Policies fine-tuned on 50 demos per task. Success rate over ~50 trials.
MolmoAct 2 97.2%