The Gemini 2.5 Pro model, developed by Google, represents one of the latest advancements in generative AI. It’s built to handle multimodal content generation, meaning it can work not just with text, but also with images, audio, video, and more, offering a highly versatile and powerful solution for a wide range of AI applications.
Whether you’re building intelligent chatbots, generating creative media, or performing complex reasoning across different types of inputs, Gemini 2.5 Pro is designed to deliver strong, high-quality outputs across multiple tasks.
In this article, we’ll dive into three different APIs that provide free access to Gemini 2.5 Pro. For each API, we’ll walk through a quick overview of its key features and how to get started, including account setup and API key generation, as well as an example of Python code to help you make your first request.
By the end, you’ll have a clear understanding of the available options and how to start building with Gemini 2.5 Pro in your own demo and small-scale projects — all without worrying about upfront costs.
You can find the codes used in this article in this GitHub repo