Gemini 3 Pro
I glanced at that evaluation form. I rubbed my eyes. Took a sip of coffee. Then looked at it again. I really thought it was because I stayed up too late and my eyes were blurry, causing me to have hallucinations.
The truth is harsh and cold: The era of squeezing toothpaste is over. While we were still foolishly waiting for OpenAI's next update, Google dropped a nuclear bomb directly. Gemini 3 Pro is not just an upgrade; it is a complete betrayal of our known timeline of AI evolution.
Superior specifications: Not just an upgrade, but a complete replacement.
On November 18th, the Gemini application, search AI mode, AI Studio, Vertex AI, and the new Google Antigravity development platform were launched. The essence of Gemini 3 Pro is not the addition of a logical structure to GPT-5, but rather a general engine that attempts to simulate the entire world in a brute-force manner.
Its underlying philosophy has undergone a qualitative change. Unlike OpenAI's obsession with long chains of logic and artificial rules, Google chose the "simulation + rules" approach. The model is designed to capture the unspoken patterns in the real world, not just understanding words, but like AlphaFold predicting proteins and WeatherNext predicting the weather, it uses neural networks to fit this chaotic, irrational, but real physical world. This enables it to have absolute dominance in fields that require contextual understanding, such as humanities, society, and history.
Google has restructured this powerful model capability into three core scenarios, each of which hits the current AI's pain points:
Learning —— The All-Modal Learning Devourer
It comes with a standard 1 million token context window, which means you can simply throw an entire textbook or a video tutorial that lasts for several hours directly at it. Its visual and auditory comprehension capabilities have reached an extreme level. It not only understands videos but can also translate handwritten recipes and even directly analyze complex video tutorials and generate interactive learning materials.
Building —— The front end is more like magic rather than code
In the WebDev Arena arena, it achieved a high score of 1487 Elo. This is where Gemini 3 excels. It is skilled at generating complex and interactive web interfaces with zero samples, such as rendering more rich interactive web interfaces, rather than simply spitting out a bunch of HTML code.
Planning —— The Core of the Agent
It performed exceptionally well in long-term planning benchmark tests, and it is no longer the chatbot that just takes one step at a time. It can navigate complex multi-step workflows, such as booking services or organizing the inbox, which involve tasks that require memory, reasoning, and decision-making simultaneously. These are now its strong suits.
Furthermore, in response to the doubts raised by the outside world regarding logical reasoning, Google has also launched an enhanced reasoning mode called "Gemini 3 Deep Think", which will be made available to Ultra subscribers within a few weeks. This compensates for the shortcomings of the simulation-based models in pure logical reasoning, ensuring that the model, while maintaining a good taste in Vibe, does not fail in hard logic.
Performance Analysis: Layered Leadership
Let's talk about those exaggerated figures. Almost all the indicators show a discontinuous lead. Let's just mention a few interesting ones. Let's start with the final exam for humanity.
Humanity's Last Exam
This is a well-known and widely recognized benchmark set in the AI industry, used to evaluate the general knowledge acquisition, interdisciplinary reasoning, and complex context understanding capabilities of large language models. The questions are often open-ended, interdisciplinary, highly context-dependent, and contain common-sense traps. It is called "the last exam for humans" because its goal is to test whether the model can handle the most difficult and least formalizable parts of the human knowledge system, which require wisdom and experience.
In this test, GPT-5.1 achieved 26.5%, Claude Sonnet got 4.5% which was 13.7%, while Gemini 3 Pro, after enabling the tool usage, directly reached 45.8%. This is not a victory, it's a massacre. This proves the victory of the world model approach at this stage. It's not just about solving the questions; it's about using the massive parameter quantity to understand the underlying real logic of the questions.
MathArena Apex
This is a highly specialized and extremely challenging benchmark test set for mathematical reasoning. It is specifically designed to evaluate the ability of large language models to handle complex, multi-step, and highly abstract mathematical problems. The questions usually require more than ten steps of complex reasoning, and they are the ultimate test of long-chain logic.
GPT-5.1 only received a score of 1.0 (yes, exactly 1 point), while Claude Sonnet scored 4.5 and got 1.6 points, and Gemini 3 Pro managed to score 23.4 points. It's like watching a primary school student still counting on their fingers to do addition and subtraction, while the college student Gemini 3 has already started building a rocket by hand using calculus right beside them.
ScreenSpot-Pro
This is an emerging and extremely challenging benchmark test, specifically designed to evaluate the understanding and practical operation capabilities of large language models regarding graphical user interfaces. It is also known as the GUI Grounding (interface landing) test. The model needs to be able to recognize and understand the meanings of various buttons just like a human, and also needs to operate accurately in a high-noise environment of various advertisements. For LLMs that are proficient in text and code, understanding the graphical interface is a huge challenge.
The GPT-5.1 scored 3.5%, while the Gemini 3 Pro reached as high as 72.7%. This is the most alarming data. The Gemini 3 Pro is an extremely powerful AI Agent when it comes to operating computers. It is the sole true god in the field of AI Agents. It can almost accurately identify every button, every icon, and every line of text on the screen.
Weakness
Although Gemini 3 Pro has an extremely powerful front-end coding capability, in terms of general software engineering skills, it is still slightly inferior to GPT-5.1 and Claude Sonnet 4.5 at present. It is a top-level designer, but not yet the strongest backend architect.
Application Evaluation
To verify whether it is just empty talk or a genuine god, we conducted some more challenging practical tests in GOOGLE AI STUDIO.
Scene 1: Analyzing the paper and generating an interactive learning page
I became a bit more cautious. So I decided to first hand over the paper to the AI, interacted with it for a round, and after it helped me construct a sufficiently complete prompt, I then went to the AI STUDIO to generate the front-end page.
The result was astonishing...
The UI layout of Aesthetic Online is completely on par with the UI of major brand product pages (as shown in the picture above). Compared with the report interpretation I did using minimax-M2 before (as shown in the picture below), there is a significant qualitative improvement.
This interactive 3D model page is also a feature that I specifically requested. After two rounds of adjustments, the completion rate is quite high. Basically, all the information mentioned in the paper has been structured and organized layer by layer.
The information recovery rate of the paper is also very high, and it has presented almost all the important conclusions in a graphical form.
Scene 2: Replicating the social media homepage and creating a web page similar to a Reddit community
I made this part quite simply. I just took a screenshot of the homepage of Reddit and requested "Create a web page similar to a Reddit community. The content should be interactive and replicate the basic functions of the community."
The completion rate is also quite high, with basic comments, likes, and AI-generated simulated information. What surprised me the most was that he added an AI comment function for me, which was completely beyond my expectations. Compared to previous models, there has also been a significant improvement.
Scene Three: Article Cover Maker
After finishing my articles, I often struggle with creating the covers. I haven't had a systematic series of cover designs, and manually creating them in Photoshop is extremely time-consuming. Originally, I had planned to prepare the same set of prompts, and use the same set of prompts each time to maintain the consistency of the style.
Who knew he would directly create a cover editor for me, allowing me to freely modify the main and secondary titles, and also connect me with a Nanobanana background image generator? It comes with default settings of four styles and colors. The level of thoughtfulness is simply too much...
In-depth Insight: The Clash of Two Philosophies
Why is this the case? Because the two towers in the AI world have completely parted ways.
The left tower is the rationalism of OpenAI, who believe that logic is truth. They attempt to build a perfect rationality through computing power, teach models to learn artificial rules, and thereby reach AGI.
The right tower is the empiricism of Google, who take the path of simulation. Gemini 3 Pro doesn't care about whether the rules are perfect; it cares about whether they are true. It uses neural networks to forcefully fit this noisy, uncertain, and chaotic world.
If you want to solve the Riemann Hypothesis, go left and find GPT-5 Pro; but if you want to understand the jargon of forum posts, internet memes, and the social and cultural environment, Gemini is the only choice. Because the Gemini model uses violent fitting of massive unstructured data to reconstruct the context and atmosphere at that time. It doesn't answer why something happened, but simulates the feeling of what happened at that time. This enables it to have a level of delicacy that no other rational model can match when interpreting complex human narratives. It can quickly establish transfer relationships between physical principles and cooking techniques, which is the real-world feeling brought by its empiricism.
The 72.7% screen operation score of Gemini 3 Pro is actually a verdict on the era of graphical user interfaces. My prediction is: within six months, we won't need to learn how to use software anymore. The future interaction will be like this: you open Figma, not dragging layers, but say to Gemini: "Change this design to cyberpunk style and then directly release it to the test server." It will look at the screen, move the mouse, click the buttons, and complete everything.
Conclusion
We are standing at the edge of a singularity. The release of Gemini 3 Pro marks the official arrival of the AI Agent era. This is not just a better chatbot; it is a digital avatar capable of operating your computer for you.
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