Gemini 2.5 Computer Use Preview 10.2025
Google (Gemini)
At a glance
- Price per 1M tokens (input)
- $1.25
- Price per 1M tokens (output)
- $10.00
- Context
- 128,000 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 automation capabilities. It is well-suited for tasks such as image analysis, processing, and generation, as well as automating workflows through tool calling, which refers to the ability to invoke external functions or services to perform specific tasks. This approach enables users to leverage the model's capabilities to streamline processes and improve efficiency. The vendor's approach to developing the Gemini model focuses on providing a robust and flexible framework that can be easily integrated into existing systems and workflows. By doing so, it allows users to tap into the model's capabilities to drive business value and innovation.
Specifications & pricing
| Input (per 1M tokens) | $1.25 |
|---|---|
| Output (per 1M tokens) | $10.00 |
| Context window | 128,000 tokens |
| Max output | 64,000 tokens |
| Capabilities | images, tool calling |
LiteLLM community dataset (MIT), verified August 15, 2026. Official Google (Gemini) pricing.
Where to try Gemini 2.5 Computer Use Preview 10.2025 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 require advanced image understanding and automation, such as image analysis and processing, as well as automating workflows through tool calling
How do I get started with the Gemini model+
To get started with the Gemini model, users can begin by reviewing the documentation and guidelines provided by the vendor, which outline the steps for integration and deployment
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 tool calling capabilities, which enable more complex and automated workflows
What are the limitations of the Gemini model+
The limitations of the Gemini model include its reliance on high-quality input data and its potential for bias in certain applications, which users should be aware of when deploying the model
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