Gemini 3.1 Pro Preview Customtools
Google (Gemini)
At a glance
- Price per 1M tokens (input)
- $2.00
- Price per 1M tokens (output)
- $12.00
- Context
- 1,048,576 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
The Gemini model is designed for business users who need to automate tasks that involve image understanding and step-by-step reasoning. This model suits tasks such as image classification, object detection, and image generation, and is particularly useful for applications that require a deep understanding of visual data. The vendor's approach to model development focuses on creating flexible and adaptable models that can be fine-tuned for specific use cases, using techniques such as tool calling, which allows the model to call external functions to perform specific tasks. This approach enables businesses to leverage the model's capabilities to drive innovation and improvement in their operations. By providing a powerful and customizable model, the vendor aims to support businesses in achieving their goals.
Specifications & pricing
| Input (per 1M tokens) | $2.00 |
|---|---|
| Output (per 1M tokens) | $12.00 |
| Cache read (per 1M tokens) | $0.20 |
| Context window | 1,048,576 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 3.1 Pro Preview Customtools 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 the Gemini model good for+
The Gemini model is good for tasks that involve image understanding and step-by-step reasoning, such as image classification, object detection, and image generation
How do I get started with the Gemini model+
To get started with the Gemini model, you will need to familiarize yourself with the model's capabilities and limitations, and then use the provided tools and interfaces to integrate the model into your application or workflow
How does the Gemini model differ from other models in the line+
The Gemini model differs from other models in the line in its focus on image understanding and step-by-step reasoning, and its ability to call external functions using tool calling, which allows for greater flexibility and adaptability
What are the limitations of the Gemini model+
The limitations of the Gemini model include its reliance on high-quality training data, and its potential for bias if the training data is not diverse or representative, and it is also important to carefully evaluate the model's performance and adjust its configuration as needed to ensure optimal results
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