Is Gemini 3 Pro the best AI model ever?

By aiwithbrandon

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Key Concepts

  • Gemini 3 Pro: Google's latest AI model, touted as a significant advancement in intelligence and multimodal understanding.
  • LLM Arena: A platform for developers and users to compare AI models side-by-side for various tasks.
  • Humanity's Last Exam: A comprehensive test covering diverse subjects like philosophy, engineering, and science.
  • Massive Multidiscipline Multimodal Understanding (MMU): The capability of an AI model to process and understand information from various modalities (text, images, video) across different disciplines.
  • Context Window: The amount of information an AI model can consider at once when processing a prompt or generating a response.
  • Google AI Studio: A platform for creating and testing AI applications using Google's models.
  • Agent Mode: A new feature within Gemini that allows the AI to act as an agent, performing tasks across integrated Google Suite applications.
  • Anti-gravity: Google's new AI coding editor.
  • Shipkit.ai: A platform for building AI applications and offering AI consulting.

Gemini 3 Pro: A Comprehensive Breakdown

This video provides an in-depth look at Google's newly released Gemini 3 Pro, highlighting its capabilities, performance benchmarks, and potential applications. The presenter expresses significant excitement, stating that Gemini 3 Pro is "an absolute beast" and "truly the smartest model" they have ever interacted with.

Performance and Benchmarks

Gemini 3 Pro demonstrates superior performance across several key areas, positioning it as a top contender in the current AI landscape.

  • LLM Arena Ranking: Gemini 3 Pro is currently ranked number one on LLM Arena, a platform where users and developers compare AI models for coding, writing, and other tasks. The presenter notes it leads "by a big margin," with other models being "neck and neck."
  • Humanity's Last Exam: The model "absolutely crushed" this comprehensive test, which covers subjects from philosophy to medicine. While it slightly trails Grok 4, the presenter points out that Grok 4 utilizes multiple models for its results, raising questions about cost-effectiveness.
  • Math Capabilities: Gemini 3 Pro, along with other leading models, has "pretty much perfected math," including advanced topics like Calculus 3, which will be demonstrated in upcoming demos.
  • Coding Performance: While Claude Sonnet 4.5 is currently listed as the winner, independently verified results suggest Gemini 3 Pro is "tied for best" in coding tasks, with an estimated score of around 69%. Its ability to build applications will be showcased.
  • Massive Multidiscipline Multimodal Understanding (MMU): Gemini 3 Pro exhibits exceptional visual intelligence, achieving high scores in understanding images and videos.
    • Example: The model can analyze a video of someone playing pickleball and provide specific feedback on their technique.
    • Technical Term: MMU stands for "massive multidiscipline, multimodal understanding," signifying its ability to process diverse inputs across various fields.
    • Application: It can analyze engineering diagrams (thermodynamics, electronics) and provide coding solutions to the problems presented.
    • Interactive Learning: Google showcases a feature where users can input an image, and Gemini 3 Pro can create an animated, interactive demonstration of how it works, turning any image into a learning lesson.

Pricing and Context Window

The pricing and context window of Gemini 3 Pro are presented as highly competitive.

  • Pricing: The input and output pricing is "super affordable" and "neck and neck" with GPT 5.1.
  • Context Window: While the standard context window is 200,000 tokens, Gemini 3 Pro offers the ability to go "closer to 1 million tokens." This is highlighted as a "huge unfair advantage" for tasks involving large contexts, databases, or applications.
  • Competitive Landscape: The presenter notes that models like Claude and Grok are "pricier." Historically, users had to trade off cost for higher coding and reasoning capabilities. However, Google is now matching these capabilities while charging less, indicating a highly competitive market.

Demos and Real-World Applications

The video features several compelling demos illustrating Gemini 3 Pro's advanced capabilities.

Demo 1: Flight Simulator

  • Concept: Building an application where planes fly perfectly parallel to the Earth's curved surface.
  • Gemini 3 Pro vs. Gemini 2.5 Pro: Gemini 3 Pro successfully created the application, with planes flying correctly. Gemini 2.5 Pro "completely missed the mark."
  • Technical Challenge: This task requires understanding calculus 3 for tangential flight to a curved surface and involves complex vector math, described as an "M's level problem."
  • Personal Impact: The presenter recounts spending two months on a similar task during their first engineering job. Gemini 3 Pro accomplished it in "2 minutes" from a two-paragraph prompt.
  • Comparison: The presenter attempted to recreate this with Claude 4.5 and GPT on different agent platforms, but Gemini 3 Pro was the only model that solved the problem in a "single shot."
  • Key Statement: "I just went like the second I saw this I was like oh my gosh this is the most powerful model I've ever seen."

Demo 2: Radio Circuit Analysis and Interactive UI

  • Concept: Generating an interactive UI from a drawing of a radio circuit that teaches how it works and plays noise when a signal is received.
  • Performance: Gemini 3 Pro "crushed it," directly replicating the circuit and understanding its function as a radio.
  • Capabilities:
    • Visually understood the circuit verbatim.
    • Reasoned through how the circuit works.
    • Created an interactive demo allowing users to learn about each component.
    • Enabled interaction with tuning frequencies, feedback, and volume (gain).
  • Outcome: The model successfully built a functional radio that could tune into a signal, demonstrating its ability to translate visual information into functional code and interactive experiences.
  • Key Statement: "The fact that we built a radio, sorry, Gemini 3 Pro built a radio from a picture, that's just crazy."

Demo 3: Game Development

  • Concept: Creating a game combining elements of Temple Run, Minecraft, and Tron.
  • Prompt: A "beefy prompt" instructing Gemini 3 Pro to create a single-page website for this combined game.
  • Process: The presenter provided the prompt and then used AI to create prompts for AI agents.
  • Iteration: The model initially created a game that was "too easy," prompting the presenter to request increased difficulty. Gemini 3 Pro iteratively improved the game based on feedback.
  • Future Implications: This demo highlights the potential for users to "tweak the video game to be the exact game that we want" and for AI to "code out iteration 2 in real time."
  • Speed: The game was built in "120 seconds," with iterations added every "60 seconds."

Gemini Integration and Agent Mode

Gemini 3 Pro is being integrated into Google's existing tools, with a significant new feature called "Agent Mode."

  • Availability: Agent Mode will be available on the "ultra plan" ($200) starting "tomorrow" (relative to the video's release).
  • Functionality: It behaves similarly to agents in OpenAI, but is "connected to your Google Suite."
  • Demo: A video showcases Agent Mode organizing an inbox, processing tasks, and taking actions on emails.
  • Impact: The presenter believes this integration will "explode" work efficiency and make AI "easily integrated into all of our tools."
  • Key Statement: "This is the moment of AI that I've been waiting for."

Final Verdict and Recommendations

The presenter concludes with a strong endorsement of Gemini 3 Pro.

  • Personal Use: It is now the presenter's "new go-to model for everything," including coding and daily tasks.
  • Future Plans: The presenter intends to purchase the "ultra mode" to utilize Agent Mode with Gemini 3 Pro.
  • Call to Action: Viewers are encouraged to share their thoughts on Gemini 3 Pro and whether they plan to switch.
  • Additional Resources:
    • A video on Anti-gravity, Google's new AI coding editor, where Gemini 3 Pro can be tried for free.
    • Information about Shipkit.ai, a platform for building AI applications and offering AI consulting, with a community of nearly 300 members.

Conclusion

Gemini 3 Pro represents a significant leap forward in AI capabilities, particularly in its intelligence, multimodal understanding, and coding proficiency. Its competitive pricing, extensive context window, and seamless integration into Google's ecosystem, especially with the introduction of Agent Mode, position it as a powerful tool for both developers and everyday users. The demos provided strongly suggest that Gemini 3 Pro is capable of tackling complex problems that were previously considered extremely challenging or time-consuming for humans and even other AI models.

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