Gemini 3 just crushed everything

Key Concepts

• Gemini 3 Pro: The latest and most advanced AI model from Google, touted as the best and smartest currently available.
• Multimodality: Gemini 3's ability to understand and process various types of data, including text, audio, and images.
• Context Window: The amount of information an AI model can process at once, measured in tokens. Gemini 3 Pro has a 1 million token context window.
• Benchmarks: Standardized tests used to evaluate and compare the performance of AI models across different capabilities.
• Standalone HTML File: A self-contained web page that includes all necessary code and assets, allowing it to function without external dependencies.
• Ray Tracing: A rendering technique used in computer graphics to simulate the physical behavior of light, producing highly realistic images.
• Monte Carlo Forecast: A statistical method that uses random sampling to model the probability of different outcomes in a process that cannot easily be predicted due to the intervention of random variables.
• Geometric Brownian Motion: A stochastic process used in financial modeling to describe the evolution of asset prices.
• Hallucination Test: A test designed to check if an AI model generates factually incorrect or fabricated information.

Gemini 3 Pro: Capabilities and Performance

This video provides a comprehensive overview of Gemini 3 Pro, highlighting its advanced capabilities through various demonstrations and benchmark comparisons. The presenter emphasizes that Gemini 3 Pro is significantly superior to other AI models currently available.

1. Advanced Coding and Application Generation

Gemini 3 Pro demonstrates exceptional coding abilities by generating complex, functional applications from single prompts.

• Windows 11 Desktop Clone:

  • Prompt: Create a clone of the Windows 11 desktop in a standalone HTML file, including functional icons for MS Word, Paint, Calculator, and Chrome, using the original wallpaper.
  • Result: Gemini 3 Pro successfully generated a functional Windows 11 desktop interface.
    • MS Word: Allowed typing, bold, italics, underline, and supported keyboard shortcuts (Ctrl+B, Ctrl+I, Ctrl+U). Window maximization and minimization also worked.
    • Google Chrome: Opened Wikipedia and allowed searching for content.
    • Paint: Enabled drawing, color changes, and clearing the canvas.
    • Calculator: Performed basic arithmetic operations.
  • Limitations: Icons like the recycle bin and start menu did not function, as they were not explicitly specified in the prompt.

• Photoshop Clone:

  • Prompt: Create a clone of Photoshop with basic tools, including brushes, layers, edit history, filters, blending options, and more, in a standalone HTML file.
  • Result: A functional Photoshop clone was generated.
    • Brushing: Supported color changes, size adjustments, and hardness control.
    • Layers: Allowed adding new layers, adjusting opacity, and toggling layers on/off.
    • Eraser: Functioned correctly.
    • Image Editing: Supported opening images, moving them between layers, and applying filters like grayscale, sepia, and blur.
    • Blending Modes: Successfully implemented multiply, screen, overlay, and darken modes.
  • Comparison: The presenter notes that only GPT-5 could potentially generate something comparable.

• Beehive Construction Simulation:

  • Prompt: Create a visual simulation of beehive construction showing hexagonal cells, worker bee paths, and honey storage, with sliders for colony size and resource availability, in a standalone HTML file.
  • Result: A physically accurate and realistic simulation was generated.
    • Bees foraged, returned to fill cells with honey, and avoided already filled cells.
    • Adjusting colony size and flower abundance affected the simulation's speed.
  • Comparison: Outperformed models like Minimax and Kim 2, with GPT-5 being the only other model to achieve a similar result.

• Space Shooter Game:

  • Prompt: Create a space shooter game with asteroid fields, debris, laser firing, alien invaders, particle explosions, and publicly available assets, in a standalone file.
  • Result: A fully functional game was created.
    • Controls: WD/arrow keys for movement, spacebar for shooting.
    • Features: Score tracking, health bar, and game over state.

• 3D Scene Generation from Image:

  • Prompt: Use 3JS to code a beautiful 3D scene from an uploaded image in a single HTML file.
  • Result: Generated a 3D scene based on the image, including falling sakura petals animation. While not perfect, it was considered impressive compared to other models.

• Digital Audio Workstation (DAW):

  • Prompt: Create a DAW with multiple instruments, drums, a step grid, piano roll, tempo control, multiple tracks, effects (reverb, delay), and volume sliders.
  • Result: A mostly functional DAW was generated.
    • Included basic drums, lead, and bass instruments.
    • Supported adding notes to sequences, soloing tracks, and adjusting volume.
    • Reverb effect worked, but delay did not.
    • Tempo control (BPM) was functional.

• Drag and Drop UI Builder (Figma Clone):

  • Prompt: Develop a drag-and-drop UI builder like Figma, including snap-to-grid, alignment guides, and advanced settings.
  • Result: A functional UI builder was created.
    • Elements could be dragged, resized, and their dimensions updated.
    • Color, font, and alignment of text could be changed.
    • Shapes (rectangle, circle) could be added.
    • Images could be inserted via URL.
    • Snap grid could be enabled/disabled.
    • Export to HTML was an option.

2. Multimodal Capabilities: Image and Audio Understanding

Gemini 3 Pro's multimodal nature allows it to interpret and analyze visual and potentially audio information.

• Stereogram Puzzle:

  • Input: An image of a stereogram.
  • Prompt: "This is a stereogram visual puzzle. What's the object?"
  • Result: Correctly identified an airplane hidden within the stereogram. The presenter notes that other top AI models failed this task.

• Hidden Cat in Image:

  • Input: An image with a cat camouflaged within a wood pile.
  • Prompt: "Find the cat in this photo."
  • Result: Accurately located a ginger orange tabby cat, providing a detailed explanation of its position and how to spot it. The thinking process involved edge detection and pattern recognition.

• 3D Scene Generation from Image: (As mentioned in coding section)

• Location Guessing:

  • Input: A personal photo with metadata stripped and from a side view.
  • Prompt: "Give me the exact location."
  • Result: Correctly identified the location as Middle Jer Lake, a challenging task given the limited information.

• Homework Assistance (Fill in the Blanks):

  • Input: An image with fill-in-the-blank questions.
  • Prompt: "Fill in the answers."
  • Result: Provided some correct answers but also made several errors, indicating that students cannot solely rely on it for homework completion yet.

3. Advanced Data Analysis and Simulation

Gemini 3 Pro can process complex data and perform sophisticated simulations.

• Financial Analysis Report:

  • Input: Q4 reports from Amazon, Google, and Nvidia.
  • Prompt: Create a comprehensive financial analysis report, including advanced algorithms for price forecasts with rationale and confidence intervals.
  • Result:
    • Generated an executive summary, comparative visuals, and detailed financial metrics.
    • Fact-checked operating income for Alphabet, confirming accuracy.
    • Performed a complex Monte Carlo forecast using geometric Brownian motion to simulate future stock price trajectories for Amazon and Google, with adjustable parameters for simulations and confidence intervals.

• Medical Research Summary:

  • Prompt: "Assess the evidence for meniscus tear recovery in young adults. Compare surgical versus non-surgical outcomes and summarize rehab phases with pain and mobility tracking graphs."
  • Result:
    • Accessed web search to cite relevant links.
    • Provided a summary comparison table of surgical vs. non-surgical outcomes.
    • Generated plain text graphs for rehab phases, visualizing recovery, mobility, and functionality.
    • Outlined next steps.

4. Technical Specifications and Benchmarks

The video delves into the technical aspects and performance metrics of Gemini 3 Pro.

• Context Window: 1 million tokens (equivalent to ~700,000 words, a novel, or 1 hour of video). This is the same as Gemini 2.5 Pro but larger than other leading models.

• Architecture: Closed source, so architecture and parameter count are unknown.

• Multimodality: Supports text, audio, and images.

• Benchmark Performance:

  • Humanity's Last Exam: Achieved 37%, significantly higher than Claude 4.5 and GPT 5.1. This tests knowledge on obscure scientific subjects.
  • ARC AGI 2: Achieved 31%, a remarkably high score for this benchmark that tests the ability to learn new patterns and solve visual puzzles after initial training. The presenter highlights this as a key indicator of Gemini 3 Pro's learning capabilities.
  • GBQA Diamond: Scored the highest for graduate-level science questions.
  • Competitive Math: Scored the highest.
  • Coding and Agentic Use: Dominated other competitors across most benchmarks.

• Independent Evaluator Leaderboards:

  • Artificial Analysis Leaderboard: Ranked #1, beating GPT 5.1 by a small margin (three points).
  • Abacus AAI LiveBench: Ranked #1, but its coding and agentic coding were noted as not as good as GPT-5 according to this benchmark.
  • SimpleBench: Ranked #1 with a significant lead, approaching human scores for common sense questions.

• Pricing: Described as expensive but cheaper than Claude or Grok, reflecting its top-tier performance.

5. Availability and Usage

Gemini 3 Pro can be accessed through several platforms:

• Gemini Platform: Accessible via the Gemini app. Users need to select the "thinking mode" to ensure they are using Gemini 3 Pro.
• Google AI Studio: A platform offering access to various Google models in an integrated interface. It provides more customizability, including system instructions, temperature (randomness/creativity), and thinking level (speed vs. intelligence).
• Third-Party Providers: Many third-party platforms have integrated Gemini 3 Pro.

6. Key Arguments and Perspectives

• Gemini 3 Pro is the "best and smartest AI model you can use right now. It's not even close." This is the central thesis of the video, supported by numerous demonstrations and benchmark results.
• Multimodality is a key differentiator: The ability to process images and audio alongside text opens up new possibilities for AI applications.
• Challenging prompts are crucial for testing AI limits: The presenter intentionally uses difficult prompts to showcase Gemini 3 Pro's superior capabilities.
• AI can be a powerful tool for creation and analysis: The video demonstrates Gemini 3 Pro's utility in coding, design, financial analysis, and research.
• AI development is rapidly advancing: The performance of Gemini 3 Pro, especially on benchmarks like ARC AGI 2, suggests significant progress in AI's ability to learn and adapt.

7. Notable Quotes

• "This is by far the best and smartest AI model you can use right now. It's not even close." (Presenter)
• "Holy smokes, it does open up Microsoft Word." (Presenter, reacting to the Windows 11 clone)
• "This is crazy how it actually coded up a working internet browser." (Presenter, on the Chrome functionality)
• "Gemini 3 has incredibly impressive visual capabilities." (Presenter)
• "Gemini 3 is definitely state-of-the-art." (Presenter)
• "Gemini 3 Pro absolutely crushes the other AI models across almost all benchmarks." (Presenter)
• "This indicates that it does have some ability to pick up new patterns or learn new things even after training." (Presenter, on ARC AGI 2 performance)

8. Technical Terms and Concepts Explained

• Tokens: Units of text or data that AI models process. A context window of 1 million tokens allows for processing a large amount of information.
• Standalone HTML File: A self-contained web page that includes all necessary code and assets, allowing it to function without external dependencies.
• Stereogram: An image designed to create an illusion of depth, where a 3D image appears to emerge from a 2D pattern.
• Edge Detection and Pattern Recognition: Image processing techniques used by AI to identify boundaries and recurring features in visual data.
• Ray Tracing: A rendering technique that simulates the physical behavior of light to create realistic images.
• Monte Carlo Forecast: A statistical method using random sampling to predict outcomes in uncertain situations.
• Geometric Brownian Motion: A mathematical model used to describe the random movement of asset prices.
• Confidence Intervals: A range of values that is likely to contain the true value of an unknown population parameter.
• DAW (Digital Audio Workstation): Software used for recording, editing, and producing audio.
• Reverb and Delay: Audio effects that simulate the echo and reverberation of sound in a space.
• BPM (Beats Per Minute): A measure of tempo in music.
• Hallucination: The generation of false or nonsensical information by an AI model.
• Control Nets (Stable Diffusion): A technique used in image generation models to control the output based on specific structural inputs.
• System Instructions: An overarching prompt in AI Studio that defines the AI model's role and behavior.
• Temperature (AI): A parameter that controls the randomness or creativity of an AI model's output.
• Thinking Level (AI): A setting that balances processing speed with intelligence/performance.

9. Logical Connections Between Sections

The video progresses logically from demonstrating Gemini 3 Pro's capabilities through increasingly complex prompts to discussing its technical specifications and benchmark performance. The initial demonstrations serve as concrete evidence for the claims made about its superiority. The multimodal capabilities are showcased next, followed by its data analysis and simulation prowess. Finally, the technical details and benchmark results provide quantitative backing for its performance, and the availability section guides users on how to access it.

10. Synthesis and Conclusion

Gemini 3 Pro represents a significant leap forward in AI technology, demonstrating unparalleled capabilities in coding, multimodal understanding, and complex data analysis. Its ability to generate functional applications, interpret intricate visual puzzles, and perform sophisticated simulations from simple prompts sets a new standard. While not perfect, particularly in highly specialized or nuanced tasks like ray tracing reflections or complex homework assignments, its performance across a wide range of challenging benchmarks and real-world applications positions it as the leading AI model currently available. The presenter concludes that Gemini 3 Pro is a powerful and versatile tool with the potential to revolutionize various industries and creative endeavors.