Gemini Robotics-ER 1.6
Gemini Robotics-ER 1.6.
7
Benchmarks with a score
0
Ranked first, out of five or more models
0
In the top three
Google DeepMind Apr 2026 Gemini Robotics-ER 1.6
Closed weights
No Epoch Capabilities Index score yet
- Blueprint-Bench 2 0% #37 /38
- Instrument reading (Google DeepMind) 52.8% #4 /5
- Progress classification (Google DeepMind) 42.7% #4 /5
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Success detection (Google DeepMind) | 90% | #1 of 2 | Lab model card | |
| RoboRewardBench | 0.93 | #12 of 22 | Official leaderboard | |
| Instrument reading (Google DeepMind) | 52.8% | #4 of 5 | Official leaderboard | |
| Progress classification (Google DeepMind) | 42.7% | #4 of 5 | Official leaderboard | |
| Blueprint-Bench 2 | 0% | #37 of 38 | Official leaderboard | |
| Human proximity (Google DeepMind robotics) | 51.1% | #4 of 4 | Official leaderboard | |
| ASIMOV | 91.1% | #2 of 2 | Lab model card |
Its lab's number next to a leaderboard
Where the benchmark's own leaderboard, or Epoch AI's run, also has this model. Gaps mostly come from different harnesses, effort levels and task subsets. Every pair.
| Benchmark | Lab says | Board says | Gap |
|---|---|---|---|
| Instrument reading (Google DeepMind) | 93% Instrument Reading w/ agentic vision | 52.8% Leaderboard | +40 pts |
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.