I. Introduction
Beijing, March 26, 2011 - Google's newly launched Gemini 2.5 Pro Experimental has just been hailed as the most advanced AI model to date. As the inaugural member of Google's highly anticipated "Thinking Models" series, it brings a context window of up to 1 million Token and a series of impressive performance improvements. That translates into the ability to process as much text as the number of words in two books of Dream of the Red Chamber at once.
In the "Last Human Exam" test, it achieved the highest score of 18.81 TP3T, which is by far the best score of any unused (externally tooled) large model. "The Last Human Exam is a multimodal benchmark test designed by nearly 1,000 experts from around the world to assess the limits of the capabilities of large language models. The test consists of 3,000 cutting-edge questions covering a wide range of fields, including math, humanities, and natural sciences.

The Gemini 2.5 Pro also came out on top in the Big Model Arena test by a record margin, making the largest score leap in history, outscoring the Grok-3 and GPT-4.5 by more than 40 points.

Jeff Dean, Chief Scientist at Google Deepmind, wrote in a blog post, "Our Gemini 2.5 Pro model is a significant improvement over the Gemini 2.0 series. It's great to see it topping the LiveBench charts by a sizable margin."

Second, what are the leaps and bounds that the advantageous Gemini 2.5 Pro Experimental brings to the table?
1. Reasoning Power Pro Max Edition
Google's official website says that Gemini 2.5 Pro leads in a range of benchmark tests that require advanced reasoning. Without cost-adding test-taking techniques such as majority voting, the 2.5 Pro leads in math and science benchmarks such as GPQA and AIME 2025.

For example, we can build a derivation of QED with text prompts and detailed study notes:

2. Coding capability Pro Max version
Officially, Google says that Gemini 2.5 Pro Experimental takes a huge leap forward from version 2.0, with more improvements to come. 2.5 Pro excels at creating visually compelling web applications and agent code applications, as well as code transformation and editing. In SWE-Bench Verified, the industry standard for proxy code evaluation, Gemini 2.5 Pro scored 63.8% with custom proxy settings.
Specifically, 2.5 Pro is able to use its reasoning capabilities to create video games by generating executable code from a single line prompt.
III. 2.5 Pro One-Click User's Manual
Overall, 2.5 Pro captures explicit commands and executes them with precision, with the ability to build complete website architectures.
To use 2.5 Pro easily and efficiently, you can go directly through the following three ways:
1, Google Official:http://aistudio.google.com/app/prompts/new_chat?model=gemini-2.5-pro-exp-03-25
2. Shirt AI:https://www.myshirtai.com/signup
3. API call:https://api.mygptmeta.com/
Coincidentally, Deepseek v3.1 and 2.5 Pro were released almost only 30 hours apart. Many netizens have made comparisons:
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