Progress classification (Google DeepMind)
Models assign each frame of a robot video to one of five task-progress bands from 0 to 100 percent. Scored by accuracy.
Reported in the Gemini Robotics ER 2 post.
- Made by
- Google DeepMind
- Released
- July 2026
- Kind
- Embodied reasoning
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Multiple choice
- Tasks
- Kept private
- Strongest model tested
- Claude Opus 5 #10 on the capability index
- Last in a launch post
- July 2026
- Last model added
- July 2026
- Scores refreshed
- November 12th, 2026
Gemini Robotics ER 2 leads with 57.4% among models released by July 2026
Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best.
The newest model with a score here came out in July 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 14 more
- 1
Gemini Robotics ER 2 57.4%
- 2 GPT-5.6 Sol 46.2%
- 3
Gemini 3.6 Flash 43.9%
- 4
Gemini Robotics-ER 1.6 42.7%
- 5 Claude Opus 5 37.1%
Source: Official Progress classification (Google DeepMind) leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 57.4% | Jul 2026 | Official leaderboard | |
| 2 | GPT-5.6 Sol | 46.2% | Jul 2026 | Official leaderboard | |
| 3 | | 43.9% | Jul 2026 | Official leaderboard | |
| 4 | | 42.7% | Apr 2026 | Official leaderboard | |
| 5 | Claude Opus 5 | 37.1% | Jul 2026 | Official leaderboard |
Labs report scores for 1 model in their cards. We plot every source in the charts below.
3 models have held number one on the official leaderboard since its release in July 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official Progress classification (Google DeepMind) leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official Progress classification (Google DeepMind) leaderboard and labs’ model cards
One lab put it in a launch post in the last six months
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.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Jul 30, 2026 | 57.4 | Progress classification (five bands) |
One lab claim next to the leaderboard
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 1 of them match, which usually means one side copied the other. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| | 57.4% Progress classification (five bands) | 57.4% Leaderboard | Same |
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%
- RoboDojo In use Generalist manipulation policies run 42 Isaac Sim tasks and 18 remote real-robot tasks. Scored by task score and success rate. GPT-6 Astra 29%
- RoboLab In use Zero-shot DROID Franka policies in Isaac Lab on 120 tabletop tasks at three instruction levels, 10 episodes each. Success rate. FLUX 3 Action 42.9%
- 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%
- 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%