Using Gemini Robotics-ER 1.6 Preview on Google AI Studio
Implementation guide · Gemini 3 · Google DeepMind
Google AI Studio exposes Gemini Robotics-ER 1.6 Preview through model ID gemini-robotics-er-1.6-preview. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-15. Next refresh: weekly.
Quick Start
- 1
- 2Use the Google AI Studio SDK or REST API to call
gemini-robotics-er-1.6-preview— see the documentation for request format. - 3
Code Examples
pip install google-genaiGOOGLE_API_KEYgemini-robotics-er-1.6-previewUse the model name directly, e.g. "gemini-2.0-flash", "gemini-1.5-pro", or "gemini-2.5-pro-preview-05-06".
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
model="gemini-robotics-er-1.6-preview",
contents="Hello"
)
print(response.text)Pricing on Google AI Studio
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.00 |
| Output tokens | $5.00 |
| Audio input | $2.00 |
Capabilities
About Gemini Robotics-ER 1.6 Preview
Gemini Robotics-ER 1.6 Preview is Google DeepMind's enhanced embodied reasoning model for physical AI and robotics tasks. Pointing and counting accuracy improved from 61% (ER 1.5) to 80%; multi-view success detection reaches 84% across simultaneous camera feeds. New instrument-reading capability enables robots to interpret complex gauges and sight glasses. Context window is 131,072 input / 65,536 output tokens. Available via Gemini API and Google AI Studio. Replaces gemini-robotics-er-1.5-preview, which was deprecated April 30, 2026.
Model Specs
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Provider