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Gemini 2.5 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 model is designed for businesses and organizations that require advanced image understanding and reasoning capabilities. It is well-suited for tasks that involve analyzing and interpreting visual data, as well as those that require step-by-step reasoning and problem-solving. The vendor's approach to developing this model is distinguished by its emphasis on tool calling, which refers to the ability of the model to call upon external functions or tools to aid in its processing and analysis. This allows the model to leverage a wide range of capabilities and expertise, making it a versatile and powerful tool for a variety of applications. By leveraging these capabilities, businesses can gain valuable insights and automate complex tasks.

Specifications & pricing

Input (per 1M tokens)$1.25
Output (per 1M tokens)$10.00
Cache read (per 1M tokens)$0.13
Context window1,048,576 tokens
Max output65,535 tokens
Capabilitiesimages, tool calling, reasoning

LiteLLM community dataset (MIT), verified August 15, 2026. Official Google (Gemini) pricing.

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Frequently asked questions

What is the Gemini model good for+

The Gemini model is good for tasks that involve image understanding, such as image classification and object detection, as well as tasks that require step-by-step reasoning and problem-solving, such as data analysis and report generation

How do I get started with the Gemini model+

To get started with the Gemini 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 prepare and format their data for processing

How does the Gemini model differ from other models in the line+

The Gemini model differs from other models in the line in its advanced image understanding and reasoning capabilities, which make it well-suited for tasks that require a deep understanding of visual data and complex problem-solving

Comparisons

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