On March 25, 2025, Google officially announced its latest reasoning AI model, "Gemini 2.5 Pro (experimental)".

This new model goes beyond conventional AI, demonstrating high "reasoning capabilities" in solving complex mathematical problems and automatically generating program codes for real-world tasks.

In this blog, we will provide an in-depth explanation of Gemini 2.5 Pro's basic features, technical highlights, and future prospects, making it accessible even for first-time AI users.

Let's explore together how the intelligence of the future will take shape and transform our lives.

Overview of Gemini 2.5 Pro

The next-generation reasoning AI, "Gemini 2.5 Pro (experimental)," differs from traditional pattern-recognition AI by incorporating a "thinking" process internally, enabling it to handle complex tasks with high accuracy.

Instead of instantly responding to questions or commands, it carefully examines the meaning and logic internally, delivering more reliable outcomes, such as solving complex mathematical problems and generating practical program codes from a single-line instruction.

Key Features of Gemini 2.5 Pro

Here are the noteworthy highlights of this model:

Implementation of a Thinking Process

It conducts logical verification internally before generating answers, providing robust outputs capable of tackling complex mathematical problems and advanced tasks.

Advanced Code Generation Capabilities

It can automatically generate code for functional games and web applications from a simple single-line instruction, allowing even beginners to dive into the world of coding effortlessly.

Multimodal and Expanded Context Window

It processes multiple data formats, including text, images, audio, and video, to solve problems by integrating various information sources.

Additionally, it features a context window of up to 1 million tokens (with plans to support 2 million tokens soon), which is expected to expand further in the future.

Applications to Real-World Tasks

Excelling in practical code generation and editing, alongside math and science tasks, it serves as a valuable tool for a wide range of users, from professional developers to beginners.

Platform Availability and Usage

Currently available for trial on Google AI Studio, it can also be accessed through a dedicated app for Gemini Advanced (paid subscription), with plans to expand to Vertex AI soon, enabling more users to experience this cutting-edge technology.

Comparison with Other Major AI Models

Leading AI companies are actively developing next-generation reasoning AI. For instance, OpenAI has GPT-4.5, Anthropic has Claude 3.7 Sonnet, and others like xAI and DeepSeek are unveiling their own reasoning models, intensifying technological competition across the market.

Across many benchmark tests and real-world tasks, Gemini 2.5 Pro has demonstrated superior performance compared to its competitors.

Specifically, it has been praised for its precise and efficient outcomes in fields such as solving mathematical problems, scientific tasks, and generating program codes.

For example, in the evaluation test "Humanity's Last Exam" without any tools, it achieved a high score of 18.8%, and in the SWE-Bench Verified coding task, it recorded 63.8%, showcasing performance on par with or better than GPT-4.5 and Claude 3.7 Sonnet.

This comparison with competing models is highly beneficial for users in understanding the strengths and weaknesses of each AI model and selecting the solution that best suits their needs.

The excellent reasoning power and code generation capabilities of Gemini 2.5 Pro are expected to become even more prominent in future technological advancements.

Game Generation Using Prompts

Here’s an example of how a captivating endless runner game can be created with just a few lines of code. For instance, inputting the following prompt enables Gemini 2.5 Pro to instantly generate code using p5.js:

Make me a captivating endless runner game.

Key instructions on the screen. p5js scene, no HTML. I like pixelated dinosaurs and interesting backgrounds.

Based on this simple command, Gemini 2.5 Pro automatically generates code using p5.js, resulting in a fully functional demo of an endless runner game. The game features important instructions displayed on the screen, pixelated dinosaurs, and unique backgrounds, making it both visually engaging and fun to play.

The outcome of this prompt demonstrates the advanced code generation capabilities of the model, along with its intuitive and user-friendly functionality.

Future Prospects and Market Impact

Gemini 2.5 Pro is a groundbreaking technology that significantly broadens the scope of AI applications through its advanced reasoning and code generation capabilities. It is expected to simplify and expedite traditionally complex and time-consuming tasks such as solving mathematical problems and programming software.

Furthermore, with competitors like OpenAI and Anthropic actively advancing next-generation AI technologies, innovations in this field are anticipated to accelerate even further.

The intensification of competition is likely to spur the emergence of innovative tools and services, driving transformative changes in everyday life and business scenarios.

Additionally, as AI applications continue to expand in fields such as education, healthcare, and entertainment, smarter solutions are expected to emerge, making the potential of future intelligence a tangible reality that improves our daily lives.

Conclusion

In this article, we provided a comprehensive overview of Gemini 2.5 Pro (experimental), Google's latest reasoning AI model announced on March 25, 2025. We covered its basic outline, key features, and comparisons with competitor models.

Gemini 2.5 Pro distinguishes itself from traditional pattern-recognition AI by integrating an internal "thinking" process. This enables it to achieve high reliability and accuracy for complex tasks, such as solving mathematical problems and automatically generating program codes.

Moreover, the model is equipped with advanced features that process diverse data formats, including text, images, audio, and video, and it boasts a context window capable of handling up to 1 million tokens (with plans for 2 million tokens soon).

Its intuitive and practical code generation capabilities are exemplified by the demonstration of creating an engaging endless runner game with just a few lines of instructions.

In the market, Gemini 2.5 Pro has shown performance on par with or superior to major competitors like OpenAI's GPT-4.5 and Anthropic's Claude 3.7 Sonnet, fueling expectations for further technological innovations and expanded use cases.

As the model continues to find applications across fields such as education, healthcare, entertainment, and business, its transformative impact on our lifestyles and ways of working is expected to draw increased attention in the coming years.

Follow me!