LLM Reference
Google AI Studio

Using Gemini Robotics-ER 1.6 Preview on Google AI Studio

Implementation guide · Gemini 3 · Google DeepMind

Serverless

Quick Start

  1. 1
    Create an account at Google AI Studio and generate an API key.
  2. 2
    Use the Google AI Studio SDK or REST API to call gemini-robotics-er-1.6-preview — see the documentation for request format.
  3. 3
    You'll be billed $1.00/1M input, $5.00/1M output tokens. See full pricing.

Code Examples

Install
pip install google-genai
API key
GOOGLE_API_KEY
Model ID
gemini-robotics-er-1.6-preview

Use 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)

About Google AI Studio

Google AI Studio is a model prototyping environment and API access point for Gemini models, offering an inference playground for developers to test and build AI applications.

Pricing on Google AI Studio

TypePrice (per 1M)
Input tokens$1.00
Output tokens$5.00
Audio input$2.00

Capabilities

VisionMultimodalReasoningFunction CallingTool UseStructured Outputs

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.