Google's Gemini 3 Is Released

Google DeepMind officially launched Gemini 3.0 on November 18, 2025, with CEO Sundar Pichai declaring it “the best model in the world for multimodal understanding” and highlighting its state-of-the-art reasoning capabilities. The model's immediate integration across core Google products, including AI Mode in Search and the Gemini app, signals that the competitive focus has pivoted from mere speed to verifiable intelligence and functional reliability.  

Architectural Power and Unprecedented Context

Gemini 3 Pro employs a Sparse Mixture-of-Experts (MoE) transformer architecture , a design choice that enables Google to scale the model’s overall knowledge efficiently without a proportional increase in computational overhead. A critical element is its massive 1-million (1M) token context window for input, effectively acting as an expanded "short term memory" that facilitates complex, long-chain reasoning over enormous inputs, such as entire code repositories or multi-hour video transcripts. Crucially, Gemini 3 is natively multimodal, designed to simultaneously process and synthesize information from text, images, video, audio, and code.  

The Leap in Verifiable Reasoning and Autonomy

The most disruptive feature is Gemini 3's demonstrable improvement in logical fidelity. On the challenging MathArena Apex benchmark, Gemini 3 Pro achieved a score of 23.4%, a substantial generational leap over the 1.0% recorded by GPT-5.1 and the 1.6% by Claude Sonnet 4.5. Similarly, its factual accuracy is significantly higher, attaining 72.1% on SimpleQA Verified, more than double the 34.9% scored by GPT-5.1. Experts suggest this performance points to a foundational shift in methodology, leaning toward verified search and systematic error detection rather than relying solely on probabilistic token generation.  

Furthermore, Gemini 3 is engineered as an agentic powerhouse , built for autonomous coding and complex, multi-step workflows. It shows a massive lead in functional autonomy, scoring 72.7% on the ScreenSpot Pro benchmark (complex UI comprehension and control), drastically outpacing the 3.5% reported for GPT-5.1.  

Enhanced Reasoning and Safety Protocol

Google also unveiled the Deep Think Mode, an enhanced reasoning variant designed to maximize performance, achieving 93.8% on GPQA Diamond and 41.0% on Humanity’s Last Exam (without tools). This powerful version is currently undergoing additional, rigorous safety evaluations before a broader release to premium subscribers, underscoring Google’s commitment to aligning its most capable AI. Developers can access Gemini 3 Pro immediately via Google AI Studio and the Vertex AI enterprise platform, with competitive input token pricing beginning at $2 per million tokens.