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Google Launches Gemini 3, Most Advanced AI Model with Enhanced Reasoning and Agentic Capabilities

Google Launches Gemini 3, Most Advanced AI Model with Enhanced Reasoning and Agentic Capabilities

Google has released Gemini 3, its most advanced artificial intelligence model to date, marking a significant leap in AI reasoning capabilities and multimodal understanding . The launch, announced Wednesday by CEO Sundar Pichai and Google DeepMind leadership, introduces state-of-the-art performance across major AI benchmarks while expanding availability across Google's product ecosystem and developer platforms .

Performance Breakthroughs

Gemini 3 Pro achieves unprecedented scores on industry-standard benchmarks, topping the LMArena Leaderboard with a breakthrough score of 1,501 Elo . The model demonstrates PhD-level reasoning with a 37.5% score on Humanity's Last Exam without tool assistance and 91.9% on GPQA Diamond, while setting new standards in mathematics with 23.4% on MathArena Apex .

The model's multimodal reasoning capabilities show significant advancement, scoring 81% on MMMU-Pro and 87.6% on Video-MMMU, while achieving 72.1% on SimpleQA Verified for improved factual accuracy . These benchmarks indicate Gemini 3 Pro can solve complex problems across diverse topics including science and mathematics with high reliability .

Enhanced Reasoning Mode

Google is introducing Gemini 3 Deep Think, an enhanced reasoning mode that pushes performance boundaries further . In testing, Deep Think achieves 41% on Humanity's Last Exam and 93.8% on GPQA Diamond, while reaching an unprecedented 45.1% on ARC-AGI-2 with code execution . The Deep Think mode is currently undergoing safety evaluations and will be available to Google AI Ultra subscribers in coming weeks .

Developer and Enterprise Tools

Gemini 3 is now available to developers through Google AI Studio, Vertex AI, and the new Google Antigravity platform . The model scores 1,487 Elo on the WebDev Arena leaderboard and achieves 54.2% on Terminal-Bench 2.0, which tests computer operation via terminal, while greatly outperforming Gemini 2.5 Pro on SWE-bench Verified at 76.2% .

Google Antigravity represents a new agentic development platform that transforms AI assistance from a toolkit component into an active development partner . The platform enables autonomous planning and execution of complex software tasks, with agents having direct access to editor, terminal, and browser environments .

Product Integration

Starting today, Gemini 3 is rolling out across Google's product lineup, including the Gemini app with over 650 million monthly users, AI Mode in Search serving 2 billion monthly users, and enterprise solutions through Gemini Enterprise . This marks the first time Google is shipping a new Gemini model in Search on launch day .

The model powers new generative UI experiences in AI Mode in Search, creating immersive visual layouts and interactive tools dynamically based on user queries . For Google AI Ultra subscribers, Gemini Agent capabilities enable the model to navigate complex multi-step workflows, from booking local services to organizing email inboxes .

Evolution from Previous Generations

Gemini 3 builds on the foundation established by previous iterations, combining Gemini 1's native multimodality and long context windows with Gemini 2's agentic capabilities and advanced reasoning . The model features a 1 million-token context window and enhanced spatial understanding, enabling it to process vast amounts of information across text, images, video, audio, and code .

According to Pichai, Gemini 2.5 Pro topped LMArena for over six months, while the broader Gemini ecosystem now serves 70% of Google Cloud customers and supports 13 million developers building with generative models .

Safety and Security

Gemini 3 has undergone the most comprehensive safety evaluations of any Google AI model to date, showing reduced sycophancy, increased resistance to prompt injections, and improved protection against cyberattack misuse . Google partnered with organizations including the UK AISI and independent assessors like Apollo, Vaultis, and Dreadnode for evaluation .

The model's development follows Google's Frontier Safety Framework, with testing conducted by world-leading subject matter experts before public release . Additional models in the Gemini 3 series are planned for release to expand AI capabilities further .

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Sources

Google Blog - A new era of intelligence with Gemini 3Google Blog - Introducing Gemini: our largest and most capable AI model
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