The world of artificial intelligence never stands still, but occasionally, developments occur that change the trajectory of this technology. With the launch of Gemini 3, Google claims to have changed the game. Based on initial reviews and benchmarks, we are looking at a model that not only challenges its current competitors but, in many cases, surpasses them by a significant margin.
In this technical article, we will put Gemini 3 Pro under the microscope. From rigorous coding tests and visual simulations to complex financial and medical analyses. If you want to know whether Gemini 3 is truly the "smartest" AI model in the world today, stay with us until the end of this article.
What is Gemini 3 and Why Does It Matter?
Gemini 3 is the latest generation of Google's large language models (LLMs), developed with a focus on multimodal capabilities and deep reasoning. A key feature in this new version is the addition of a "Thinking Mode" In this mode, the model spends time "thinking," strategizing, and evaluating possible solutions before responding. This is the very feature that transforms Gemini 3 from a simple chatbot into a truly intelligent assistant.
Availability
Users can now access this model through the Gemini App (by selecting the Thinking mode) and also via Google AI Studio.
1. Coding and Simulation Tests: Beyond Expectations
One of Google's major claims is Gemini 3's unparalleled power in coding. To verify this claim, tests were conducted that went beyond "writing a simple Python function."
Building a Windows 11 Clone
In an astonishing test, Gemini 3 was asked to create a simulated version of a Windows 11 desktop in the form of a standalone HTML file using a single prompt. The result?
The model not only recreated the Windows interface but also placed interactive applications like Word, Paint, and a calculator within it. Keyboard shortcuts (like Ctrl+B to bold text in Word) worked. Even the Chrome browser inside this simulator could open an offline version of Wikipedia!
Figma & Photoshop Simulation
Gemini 3 was able to code a lightweight version of Photoshop with features like Layers, Blending Modes (Multiply, Overlay), filters, and transparency adjustments. Furthermore, in creating a design tool similar to Figma, features like Drag & Drop and Snap to grid were implemented well. This level of front-end coding understanding in an AI model is unprecedented.
2. Visual Power and Multimodal Capabilities
Gemini 3 doesn't just understand text; it sees the world. Tests performed on the model's visual capabilities yielded stunning results.
NRMC Sep 11, 2025 • 6 min read
Solving Stereogram (Magic Eye) Puzzles
Do you remember the old hidden 3D images? Many AI models struggle to understand these. But Gemini 3 successfully analyzed a stereogram and correctly identified that the hidden object was an airplane. This demonstrates an understanding of depth and complex visual patterns.
Finding Hidden Objects
In another test, the model was given an image of a pile of logs with a cat hidden within it. Gemini 3 not only found the cat but also provided a precise explanation, reasoning that the cat's body color matched the wood and specifying its exact location in the image (precise coordinates).
Converting 2D Images to 3D Scenes
One of Gemini 3's fascinating capabilities is converting static images into Three.js code. In one experiment, by uploading a landscape image, the model created an interactive 3D scene that even animated the effect of falling cherry blossoms (Sakura).
3. Scientific and Physical Simulations
Can AI understand and simulate the laws of physics and biology?
Beehive Simulation: Gemini 3 successfully created a visual simulation of hive construction. The bees moved logically, collected nectar, and filled empty cells. The key point was the adherence to biological principles in the bees' behavior.
Video Games: Creating a space shooter game with scoring, health bars, and explosion effects was accomplished with just a single text command.
Ray Tracing Test: Although Gemini 3 performed well in creating a scene with two metallic spheres and light reflections, it is not yet flawless. The mutual reflection of the spheres and the shading had minor issues, but the ability to change parameters like Roughness and Metalness in real-time was provided.
4. Advanced Analyses: Finance and Medicine
Gemini 3 proved it is not just an entertainment tool and can be a powerful assistant in specialized tasks.
Wall Street Financial Analyst
By uploading the Q4 quarterly reports of Amazon, Google, and Nvidia, Gemini 3 was able to: 1. Extract data from the PDF files. 2. Create a detailed comparative report. 3. Most remarkably: run a Monte Carlo Simulation. Using complex mathematical algorithms, the model predicted thousands of potential future scenarios for the stock prices and provided a confidence interval.
Medical Assistant (Use with Caution!)
In reviewing a case of a meniscus tear, the model was able to search the web, find reliable references, and draw precise text-based charts for the recovery stages. However, it still made errors in solving homework assignments (like naming cell components in biology). This indicates that students should not trust it blindly.
NRMC Sep 15, 2025 • 10 min read
5. Benchmarks and Technical Specifications: Numbers Don't Lie
For hardware and statistics enthusiasts, the specifications of Gemini 3 Pro are very compelling:
- Context Window: This model has a 1 million token memory. This means you can give it an entire book, a massive codebase, or about an hour of video to analyze simultaneously.
- ARC-AGI Benchmark: This is one of the most difficult AI tests, measuring the ability to "learn a new pattern." Most models fail this test, but Gemini 3, with a score of 31% (significantly higher than competitors), demonstrated its ability for in-the-moment learning.
- Global Rankings: On reputable leaderboards like Artificial Analysis and SimpleBench, Gemini 3 currently holds the number one spot, ranking above GPT-5 (current and experimental versions) and Claude.
Weaknesses and Limitations
No technology is perfect. The review identified:
Hallucination: Although in the "Stable Diffusion 5" test, the model correctly identified that no such version exists and was not fooled, it made mistakes in solving visual academic questions (like a cell diagram).
Limitations in Light Physics: In complex graphical simulations like Ray Tracing, it still lacks a complete understanding of multiple reflections.
Cost: Using this model via the API is more expensive than lighter models, though this is logically justifiable given its power.
Conclusion: Is Gemini 3 Worth Trying?
Without a doubt, yes. With Gemini 3, Google has proven that its era of lagging in the AI market is over. This model's ability to combine high-level coding, deep visual understanding, and complex statistical analyses makes it an unrivaled tool for programmers, data analysts, and content creators.
If you are looking for an intelligent assistant that can build applications, analyze financial markets, and solve visual puzzles, Gemini 3 is currently the best option on the table.
How to Get Started?
To experience this power, go to Google AI Studio or the Gemini app now and set the model to Gemini 3 Pro. The future is here.
And if you liked this blog make sure not miss out on our other blogs:
FAQ
1. What is the main difference between Gemini 3 and previous versions?
Gemini 3 introduces the transformative "Thinking Mode." This means the model spends time "thinking" and engaging in deep reasoning before responding. This feature enables it to perform much more intelligently and accurately in solving complex scientific, mathematical, and logical problems compared to previous generations.
2. Can Gemini 3 actually code and build games?
Yes, the model's coding capability is remarkable. Gemini 3 can code and run complete, interactive applications (like a Windows clone or video games) using just a single text command. The output code is very clean and largely bug-free, significantly minimizing the user's required technical knowledge.
3. What are the practical applications of the Multimodal feature?
Gemini 3 sees the world in a human-like way. The model can analyze images, charts, and videos with high precision. For example, it can find hidden objects in a photo, convert complex financial charts into statistical data, and even build 3D scenes from a simple image.
4. How can we access the Gemini 3 model?
To use this model, you can visit the Gemini app or the Google AI Studio website. Just remember that to access the most capable version, you should set the model to "Thinking" mode to fully leverage its advanced reasoning power and 1-million-token context window.
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