Google's strongest model has arrived late at night! Gemini 2.5 Pro released and has taken the charts by storm, with code reasoning going crazy

Just now, Google's brand new model Gemini 2.5 Pro has indeed launched late at night!

Gemini 2.5 Pro is a "thinking" model that can perform reasoning before responding, thereby enhancing performance and improving accuracy.

Google claims it is the world's most powerful model, equipped with unified reasoning capabilities and all the features users love about Gemini (long context, tools, etc.).

It has achieved SOTA levels in multiple benchmark tests and ranked first in LMArena with a significant advantage.

Now, Gemini 2.5 Pro has topped the Arena leaderboard and set a historical record for the largest score leap, surpassing Grok-3/GPT-4.5 by a full 40 points!

In the "nebula" test, it also swept all categories to take first place, claiming championships in five major fields: mathematics, creative writing, instruction following, long queries, and multi-turn dialogue!

In the challenging prompts and programming fields, it tied for first place with Grok-3/GPT-4.5, and won by a narrow margin in all other competitions, successfully claiming the top spot!

Additionally, Gemini 2.5 Pro has also successfully topped the Vision Arena leaderboard!

In the web development field, it has also shone brightly, successfully securing the runner-up position in the WebDev Arena!

It is the first model to rival Claude 3.5 Sonnet, achieving a qualitative leap compared to previous versions of Gemini.

This time, Google's model has demonstrated a tremendous leap. How long will it take for competitors like OpenAI, Anthropic, and DeepSeek to catch up?

Currently, Gemini 2.5 Pro has been made available to Gemini Advanced users in Google AI Studio and the Gemini application, and will soon be launched on Vertex AI.

Its pricing plan will be announced in the coming weeks, allowing users to apply the model in large-scale production environments with higher usage quotas.

After testing, netizens found that it indeed has impressive capabilities, standing out among all models, solving a difficult problem in just a few seconds on the first attempt.

Gemini 2.5 Pro is Live!

Google stated that in the field of AI, a system's "reasoning" ability refers not only to classification and prediction but also to the system's ability to analyze information, draw logical conclusions, incorporate context and nuances, and make informed decisions.

For a long time, Google has been exploring ways to make AI smarter and more capable of reasoning through techniques such as reinforcement learning and chain-of-thought prompting.

Based on this foundation, they launched the first thinking model, Gemini 2.0 Flash Thinking, in February.

Today, with Gemini 2.5, they have combined significantly enhanced foundational models and improved post-training, achieving a new level of performance for the model.

Significant Improvement in Reasoning and Coding Abilities

Gemini 2.5 Pro demonstrates powerful reasoning and coding abilities, leading in common programming, mathematics, and science benchmark tests.

Additionally, it has reached SOTA levels in various benchmark tests requiring advanced reasoning capabilities.

Without using techniques that would increase computational costs during the testing phase (such as majority voting), 2.5 Pro excels in mathematical and scientific benchmark assessments like GPQA and AIME 2025.

Moreover, without using any external tools, it achieved an accuracy rate of 18.8% in the challenge of pushing the limits of human knowledge and reasoning capabilities, known as "the last exam for humans," reaching industry-leading performance.

In terms of programming capabilities, Gemini 2.5 has achieved a qualitative leap compared to version 2.0, and this is just the beginning.

Gemini 2.5 Pro excels in creating visually stunning web applications and AI agent code applications, and it also performs exceptionally well in the field of code conversion and editing.

In the industry-standard test for agent code evaluation, SWE-Bench Verified, Gemini 2.5 Pro achieved an excellent score of 63.8% by using a custom agent configuration.

The following demos showcase how Gemini 2.5 Pro utilizes powerful reasoning to generate executable code with just one line of prompt, creating complete animations and games.

In the demo below, it generated an interactive animation in p5js based solely on the following prompt, depicting a scene of "cosmic fish" and showing what the fish are thinking.

It also generated an endless dinosaur running game based on the following prompt.

As required, it created pixelated dinosaur images and an interesting game background.

Subsequently, Gemini 2.5 Pro also achieved fractal visualization through programming.

It created a simulation program for intricate fractal patterns, showcasing the marvelous Mandelbrot set.

Additionally, it can construct an interactive bubble chart that visually displays the changes in economic and health indicators for each continent over time.

Or use an interactive Javascript animation to showcase a colorful artificial life community rotating within a hexagon, creating the feel of a "supernova nebula" as requested

In addition, it can also develop particle system simulations, providing an HTML file that creates an immersive interactive simulation scene of reflective nebulae.

Native Multimodal and Ultra-Long Context

Gemini 2.5 inherits and enhances the advantages of the Gemini model—native multimodal capabilities and ultra-long context length.

Upon its initial release, 2.5 Pro supported a context window of 1 million tokens (with 2 million tokens coming soon!), significantly outperforming the previous generation models.

This allows it to understand vast datasets and tackle complex problems from various information sources, including text, audio, images, video, and even complete code repositories.

Finally, since Google has unveiled the most powerful model on the surface, let's wait for OpenAI's response.

Risk Warning and Disclaimer

The market has risks, and investment requires caution. This article does not constitute personal investment advice and does not take into account the specific investment goals, financial situation, or needs of individual users. Users should consider whether any opinions, views, or conclusions in this article align with their specific circumstances. Investing based on this is at your own risk