Gemini Pro
Google (Gemini)
At a glance
- Price per 1M tokens (input)
- $1.25
- Price per 1M tokens (output)
- $10.00
- Context
- 1,048,576 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
The Gemini Pro model is designed for businesses and organizations that require advanced image understanding and reasoning capabilities. This model suits tasks that involve analyzing and interpreting visual data, as well as tasks that require step-by-step reasoning and decision-making. The vendor's approach to developing this model focuses on enabling tool calling, which allows the model to call upon external functions and tools to augment its capabilities. This enables the model to leverage a wide range of expertise and resources, making it a powerful tool for a variety of applications. By leveraging its image understanding and reasoning capabilities, the Gemini Pro model can help businesses and organizations automate complex tasks and make more informed decisions.
Specifications & pricing
| Input (per 1M tokens) | $1.25 |
|---|---|
| Output (per 1M tokens) | $10.00 |
| Cache read (per 1M tokens) | $0.13 |
| Context window | 1,048,576 tokens |
| Max output | 65,535 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 15, 2026. Official Google (Gemini) pricing.
What Gemini Pro would cost on your workload — run it through the cost calculator →
Where to try Gemini Pro 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 Pro model good for+
The Gemini Pro model is well-suited for tasks that involve image understanding, such as image classification and object detection, as well as tasks that require step-by-step reasoning and decision-making, such as data analysis and report generation
How do I get started with the Gemini Pro model+
To get started with the Gemini Pro model, users can begin by reviewing the model's documentation and guidelines, which provide information on how to integrate the model into their existing workflows and applications, as well as how to use its tool calling capabilities to access external functions and tools
How does the Gemini Pro model differ from other models in the line+
The Gemini Pro model differs from other models in the line in its advanced image understanding and reasoning capabilities, which enable it to perform more complex tasks and provide more nuanced and detailed outputs, and its ability to leverage tool calling to access a wide range of external expertise and resources
What are the limitations of the Gemini Pro model+
The Gemini Pro model has limitations in terms of its ability to handle certain types of image data, such as images with low resolution or high levels of noise, and its reliance on the quality and availability of external tools and resources, which can impact its performance and accuracy in certain situations
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