CaliToday (19/11/2025): Beyond merely outscoring competitors on charts, Google’s new Gemini 3 demonstrates a profound ability to understand and simulate the real world, marking a pivotal shift in artificial intelligence.
Today, Google officially announced Gemini 3 Pro, a monumental step forward on the journey toward Artificial General Intelligence (AGI). According to Demis Hassabis, CEO of Google DeepMind, and Koray Kavukcuoglu, CTO of Google DeepMind, this stands as the world's most powerful AI model regarding multimodal understanding. It is also, definitively, the most capable agentic and coding model Google has ever built.
Architecturally, Gemini 3 Pro is built on a Mixture-of-Experts (MoE) foundation combined with Transformer architecture, trained entirely on Google’s own TPU chips. The result is a model that eclipses its predecessor, Gemini 2.5 Pro, across every significant AI benchmark.
Shattering Benchmarks: By the Numbers
Gemini 3 Pro hasn't just improved; it has dominated. It currently sits atop the LMArena leaderboard with a breakthrough Elo score of 1501, leaving competitors trailing.
Perhaps most impressively, the model demonstrates PhD-level reasoning capabilities. In the notoriously difficult Humanity's Last Exam, Gemini 3 Pro achieved a score of 37.5% without using any external tools. For context, this significantly outperforms OpenAI’s GPT-5.1, which scored 26.5%.
Key Performance Metrics
| Benchmark | Gemini 3 Pro Score | Significance |
| LMArena | 1501 Elo | #1 Global Ranking |
| GPQA Diamond | 91.9% | High-level science/reasoning mastery |
| MathArena Apex | 23.4% | New world record in complex mathematics |
| MMMU-Pro | 81% | Redefining multimodal reasoning standards |
| Video-MMMU | 87.6% | Exceptional video understanding |
The model also achieved 72.1% on SimpleQA Verified, signaling a major leap in factual accuracy and reducing hallucinations.
A New Persona: The "Thought Partner"
Gone are the days of verbose, sycophantic AI responses. Gemini 3 Pro is tuned to be smart, concise, and direct. It avoids fluff and flattery, offering honest assessments—telling users what they need to hear, not just what they want to hear. It acts less like a chatbot and more like a genuine intellectual partner.
Enter "Gemini 3 Deep Think"
alongside the standard Pro version, Google introduced Gemini 3 Deep Think, an advanced reasoning mode that pushes the boundaries of what AI can solve.
Humanity's Last Exam: Jumps to 41%.
GPQA Diamond: Reaches an astounding 93.8%.
ARC-AGI-2: Achieves an unprecedented 45.1%.
The score on ARC-AGI-2 is particularly notable, as it tests the ability to solve entirely novel challenges, proving that Deep Think possesses deep reasoning skills and high adaptability rather than just memorized patterns.
Real-World Context & Multimodality
Gemini 3 was designed from the ground up to synthesize information across text, images, video, audio, and code. With a massive 1 million token context window, it can process vast amounts of data simultaneously.
Practical Applications:
Culinary Arts: Users can feed the model handwritten recipes in multiple languages; Gemini 3 can decode, translate, and compile them into a shareable family cookbook.
Accelerated Learning: A user can upload academic papers, long lecture videos, and tutorials. The model can then generate interactive flashcards, visual aids, and study code to help master the subject.
The Developer Revolution: Google Antigravity
For developers, Gemini 3 fulfills the promise of turning ideas into reality instantly. It leads the WebDev Arena with 1487 Elo and excels in tool use, scoring 54.2% on Terminal-Bench 2.0.
While the coding race is tight—Gemini 3 scored 76.2% on SWE-bench Verified (nearly tying GPT-5.1 at 76.3%, though trailing Claude Sonnet 4.5 at 77.2%)—Google is changing the way developers work.
Introducing Google Antigravity
This is a new agentic development platform that transforms AI from a tool into a proactive collaborator.
Full Access: Agents in Antigravity have direct access to the code editor, terminal, and browser.
Autonomy: Agents can plan and execute complex software tasks from end-to-end, self-validating their code along the way.
Integration: Includes Gemini 3 Pro, the new Gemini 2.5 Computer Use model (for browser control), and Nano Banana (for image editing).
In long-term planning simulations (Vending-Bench 2), Gemini 3 maintained consistent decision-making over a simulated year of business operations, generating higher profits without losing focus.
Safety & Availability
Gemini 3 is Google’s most secure model to date. It has undergone the most comprehensive safety evaluation in the company's history, including red-teaming by external experts like UK AISI, Apollo, and Vaultis. The model features enhanced resistance to prompt injection and cyber-attacks.
Where to Access Gemini 3:
Consumers: Rolling out now via the Gemini App, and for Google AI Pro/Ultra subscribers (in AI Mode on Google Search).
Developers: Available via the Gemini API in AI Studio, the Google Antigravity platform, and Gemini CLI.
Enterprise: Available via Vertex AI and Gemini Enterprise.
Note: The Gemini 3 Deep Think mode is currently undergoing final expert safety checks and will be available to Google AI Ultra subscribers in the coming weeks.
CaliToday.Net