LLM Reference
Google AI Studio

Gemini Robotics-ER 1.6 Preview on Google AI Studio

Gemini 3 · Google DeepMind

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Last refreshed 2026-06-15. Next refresh: weekly.

Why use Gemini Robotics-ER 1.6 Preview on Google AI Studio?

Google AI Studio offers Gemini Robotics-ER 1.6 Preview with pay-as-you-go pricing at $1.00/1M input tokens. 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.

Input / 1M
$1.00
Output / 1M
$5.00
Cache
Not sourced
Batch
-50% · in $0.50 / out $2.50

Setup recipe

Python + curl
Install
pip install google-genai
Auth
export GOOGLE_API_KEY=...
Call
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
Model ID
gemini-robotics-er-1.6-preview

Request example

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)

Gotchas

  • Use the model name directly, e.g. "gemini-2.0-flash", "gemini-1.5-pro", or "gemini-2.5-pro-preview-05-06".
  • The examples expect GOOGLE_API_KEY; rename it only if your application config maps the new variable.

Pricing

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

Capabilities

VisionMultimodalReasoningJSON / Tool 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.

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