Gemini 3 Pro: Release Date, Features & Agentic Capabilities

On November 18, 2025, Google announced the launch of Gemini 3 Pro, a move that signals a significant escalation in the artificial intelligence race. This release is a direct answer to recent advances from competitors like OpenAI's GPT-5.1 and Anthropic's Claude Sonnet 4.5. Gemini 3 Pro represents a fundamental leap beyond traditional large language models, establishing a new era of agentic coding and true multimodal understanding. As Google CEO Sundar Pichai stated, Gemini 3 is their "most intelligent model that combines all of Gemini's capabilities together". With record-breaking performance on every major AI benchmark and the introduction of the revolutionary development platform, Google Antigravity, Gemini 3 Pro has firmly positioned Google as the new industry leader.

Benchmark Domination: The New #1 in the AI Race

Gemini 3 Pro has established a new state-of-the-art across a wide range of industry-standard AI benchmark evaluations, definitively outperforming its primary competitor, GPT-5.1, in key areas of reasoning, coding, and long-horizon tasks.

Excelling in Advanced Reasoning

The model has demonstrated unprecedented capabilities in academic and scientific reasoning. It achieved an impressive score of 37.5% on Humanity's Last Exam (without tools), a benchmark designed to test PhD-level reasoning. Furthermore, it scored 91.9% on GPQA Diamond, an evaluation of scientific knowledge. This dominant performance has positioned Gemini 3 Pro as the new leader in the Artificial Analysis Intelligence Index, debuting three points above GPT-5.1.

Setting the Standard in Agentic Coding

The model’s coding and agentic capabilities have set a new industry standard. Gemini 3 Pro achieved a score of 76.2% on SWE-bench Verified, a benchmark measuring an agent's ability to resolve real-world GitHub issues. This practical prowess is confirmed by industry leaders. An industry leader noted that the model uses long context far more effectively than its predecessor and has solved problems that stumped other leading models, calling it "a massive leap."

See the Technical Showdown: Gemini 3 Pro vs GPT-5.1 (Benchmarks & Pricing)

Redefining Development: Agentic Coding and Google Antigravity

The release of Gemini 3 Pro marks the arrival of agentic coding, a paradigm where AI moves beyond simple code suggestion to autonomously plan and execute complex, end-to-end software development tasks. In this model, the AI functions as an intelligent agent capable of understanding high-level objectives and carrying them out with minimal human intervention.

• Google Antigravity Platform: Google introduced Google Antigravity, a new "agentic development platform" to showcase these capabilities.
• The Architect Role: This environment allows developers to act as architects, supervising intelligent agents that operate across the editor, terminal, and browser to build features, fix bugs, and even generate research reports.
• Multi-Model Integration: Antigravity is a sophisticated, multi-model platform that integrates specialized models like the Gemini 2.5 Computer Use model for browser control and Nano Banana for image editing.
• Traceability: A key feature of the platform is its ability to produce detailed artifacts for every action, ensuring full traceability and allowing developers to review, debug, and certify the agent's work.

View the Developer Guide: Building Agents with Google Antigravity

True Multimodality and 1 Million Context Window

Gemini 3 Pro is the industry leader in advanced multimodal understanding, capable of seamlessly processing and reasoning across text, code, images, and audio. This capability is validated by its record-setting scores of 81% on MMMU-Pro and 87.6% on Video-MMMU, benchmarks designed to test complex image and video comprehension.

• Massive Context: The model uses a massive 1 million-token context window, a game-changer that allows developers to ingest "entire books, research archives, or live codebases into a single prompt."
• Real-World Application: A practical example is the model's ability to analyze a video of a pickleball match, identify areas for a player's improvement, and generate a personalized training plan—a task requiring a deep synthesis of visual data and contextual reasoning.

Explore the 1 Million Token Context Window & Agentic Workflows

Pushing Boundaries: Gemini 3 Deep Think Mode

Google also announced Gemini 3 Deep Think, a specialized, enhanced reasoning mode designed for the most complex problems that require creativity and strategic planning. This mode delivers a step-change in performance, achieving a score of 41.0% on Humanity's Last Exam—a significant improvement over the standard model's 37.5%. Due to its advanced capabilities, Deep Think is undergoing additional safety evaluations and will be released exclusively to Google AI Ultra subscribers in the coming weeks. For those interested in the principles behind such advanced AI, research from institutions like the MIT Computer Science and Artificial Intelligence Laboratory offers deeper insights into the future of computational reasoning.

Read the Full Report: How Gemini 3 Pro Scored 37.5% on Humanity's Last Exam

Pricing and Availability: Accessing the New Model Today

Gemini 3 Pro is available immediately across multiple platforms with a competitive pricing structure.

• API Pricing: For prompts under 200,000 tokens, the API is priced at $2 per million input tokens and $12 per million output tokens.
• Free Tier: A free tier with rate limits is available for developers to experiment and prototype in Google AI Studio.
• Platform Integration: The model is accessible through Vertex AI for enterprise use, the consumer-facing Gemini app, and is being integrated into third-party developer tools like JetBrains and GitHub Copilot.

Plan Your Access: Get the full details on Deep Think Mode and the API Pricing Structure

Commitment to Safety: Inside the Frontier Safety Framework

Google has conducted its most comprehensive safety evaluations to date for Gemini 3 Pro, detailed in the "Gemini 3 Pro Frontier Safety Framework Report". The assessment concluded that the model did not reach any "Critical Capability Levels" (CCLs), the thresholds at which a model could pose a heightened risk of severe harm.

• Cybersecurity Alert: The report transparently notes that an "early warning alert threshold" was met for the Cybersecurity domain.
• Mitigation: In response, Google stated it will "continue to deploy mitigations in this domain," demonstrating a precautionary and responsible approach to deployment.

Read the Details: Understand the full risk assessment in the Frontier Safety Framework Report

A Fundamental Shift in AI-Human Collaboration

The release of Gemini 3 Pro is far more than an incremental update; it signals a strategic shift towards a future of accessible, agentic, and multimodal AI. This move redefines the developer's role from a hands-on coder to a high-level architect who directs intelligent systems. By combining state-of-the-art performance with novel platforms like Google Antigravity, Google is not just competing—it is reshaping the developer ecosystem and the very nature of human-computer interaction. Its leadership on critical benchmarks and deep integration into developer workflows firmly places Google at the forefront of the AI industry, heralding a new era of AI-powered collaboration.

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Frequently Asked Questions (FAQs)

Sources and references:

• Gemini 3.0 Pro vs GPT 5.1: LLM Benchmark Showdown
• Google Gemini 3 Pro: The Most Advanced Multimodal Model, Full Pricing Guide, and Integration With Agentic Tools
• Start building with Gemini 3
• Gemini 3 Pro Frontier Safety Framework Report
• Gemini 3 Pro - Everything you need to know