Google Unveils Gemini 3 Pro: A New Benchmark Leader in AI
Google DeepMind has launched Gemini 3 Pro, marking a significant leap in artificial intelligence with its debut as the leading model on the Artificial Analysis Intelligence Index. It outperforms competitors such as GPT-5.1 by more than three points, topping five out of ten evaluation categories including GPQA Diamond, MMLU-Pro, HLE, LiveCodeBench, and SciCode. Particularly notable is its 37% score on Humanity’s Last Exam, exceeding prior bests by over ten percentage points. Gemini 3 Pro also leads in AA-Omniscience metrics, exhibiting the highest factual recall and accuracy, which suggests it may be a larger model compared to rivals.
Advanced Multimodal and Coding Abilities
Gemini 3 Pro showcases advanced multimodal competencies, processing text, images, video, and audio inputs efficiently. It scored highest on the MMMU-Pro benchmark for image reasoning, with Google holding three of the top four positions on this leaderboard. The model excels in agentic tasks and coding evaluations, achieving a 56% score on SciCode and performing strongly in benchmarks like Terminal-Bench Hard and Tau2-Bench Telecom. Its coding prowess includes the generation of complex, dynamic web applications, interactive SVG animations (e.g., realistic electric fans and eight-cylinder engine animations), and fast creation of prototypes in design tools such as Figma Make.
Innovative Development Tools: Google Antigravity IDE
Alongside Gemini 3 Pro, Google introduced Antigravity, a next-generation, agent-first integrated development environment (IDE) powered by Gemini 3 Pro. Antigravity facilitates autonomous multi-agent coding workflows, allowing developers to command AI agents that plan, code, test, and debug software, including browser automation, in real-time. This IDE supports macOS, Windows, and Linux platforms, offering unlimited tab completions and generous rate limits on commands. It integrates other AI models such as Claude Sonnet 4.5 and GPT-OSS, enabling hybrid multi-agent workflows. Developers highlight features like real-time change commits, agent inboxes, and direct Git repository import, enhancing productivity and creative coding experiences.
Performance, Efficiency, and Pricing
Gemini 3 Pro maintains output speeds of 128 tokens per second, surpassing other leading models like GPT-5.1 (high), Kimi K2 Thinking, and Grok 4. The model incorporates a 1 million token context window and tool support for structured, JSON-formatted outputs. Despite improved token efficiency compared to Gemini 2.5 Pro, it entails premium pricing: $2 per million input tokens and $12 per million output tokens for contexts under 200,000 tokens, escalating to $4 and $18 respectively for longer contexts. Consequently, it ranks among the most expensive models on the Artificial Analysis Intelligence Index, with a 12% higher evaluation cost than its predecessor.
Real-World Applications and User Experience
Gemini 3 Pro is now publicly available via platforms including Google AI Studio, Gemini API, and services such as GitHub Copilot (public preview). Early adopter feedback praises its nuanced understanding of complex prompts, substantial gains in spatial reasoning (scoring above 90%), and the ability to generate richly interactive web experiences from minimal instructions. It is reported to exceed human-level performance in tasks requiring PhD-level reasoning, long-horizon planning, and multimodal understanding, effectively handling scientific, mathematical, and logical challenges.
Additional Innovations and Ecosystem Advances
New Gemini capabilities extend to robust video understanding, summarizing and reasoning over hour-long videos with precision. The Gemini CLI enables command-line access to the model, boosting developer productivity with rapid testing and prototyping. Complementary tools like Nano Banana allow photo editing through natural language in Google Photos. Google also continues expanding its AI integrations with updates to Gemini Live on mobile platforms, SIMA 2 research on game playing AI, and broader deployment of Waymo’s self-driving cars in major U.S. cities.
Summary
Gemini 3 Pro establishes Google as a front-runner in AI with state-of-the-art reasoning, coding, and multimodal capabilities. Through unprecedented benchmark achievements, sophisticated agentic coding tools like Antigravity IDE, and a comprehensive launch across consumer and developer platforms, Google signals a transformative shift in AI integration and application. While premium pricing remains a factor, the efficiency gains and breadth of use cases make Gemini 3 Pro a compelling choice for enterprises and developers aiming to harness next-generation AI intelligence. The AI community eagerly anticipates further innovations in reasoning modes, multimodal processing, and autonomous agent workflows from the Gemini series.