Gemini Robotics Er 1.6 Preview
Google (Gemini)
At a glance
- Price per 1M tokens (input)
- $1.00
- Price per 1M tokens (output)
- $5.00
- Context
- 131,072 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
The Gemini Robotics Er model is designed for businesses and developers who need to automate tasks that require image understanding and step-by-step reasoning. This model is well-suited for tasks such as analyzing visual data, making decisions based on that data, and taking actions through tool calling, which refers to the ability to invoke specific functions or tools to perform tasks. The vendor's approach to this model focuses on providing a robust and flexible framework for building custom applications. By leveraging the model's capabilities, users can create tailored solutions that integrate image understanding, reasoning, and tool calling to drive business value.
Specifications & pricing
| Input (per 1M tokens) | $1.00 |
|---|---|
| Output (per 1M tokens) | $5.00 |
| Context window | 131,072 tokens |
| Max output | 65,536 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 15, 2026. Official Google (Gemini) pricing.
Where to try Gemini Robotics Er 1.6 Preview for free
- Google (Gemini) offers a free chat — Gemini (free plan). A vendor's free chat may run a different model from the same family — the exact model is not guaranteed.
- 🎁 On our promo-codes page: Gemini for free: access and discounts.
Frequently asked questions
What is this model good for+
This model is good for tasks that require image understanding and step-by-step reasoning, such as analyzing visual data and making decisions based on that data
How do I get started with this model+
To get started with this model, users should familiarize themselves with the model's capabilities and limitations, and then design a custom application that leverages the model's image understanding, reasoning, and tool calling capabilities
How does this model differ from other models in the line+
This model differs from other models in the line in its focus on image understanding and step-by-step reasoning, which sets it apart from models that focus on other capabilities, such as natural language processing
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