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Gemini 3 Pro

Google DeepMind's flagship multimodal AI with 1M context.

Introduction

What is Gemini 3 Pro

Gemini 3 Pro is Google DeepMind’s flagship multimodal foundation model, built on a transformer architecture. It ingests text, images, video, audio, and PDFs, and outputs long-form text and code. It is designed for deep reasoning, agentic coding, and handling a 1M-token context window.

How to use Gemini 3 Pro

Gemini 3 Pro can be accessed through several platforms:

  • Gemini App: Subscribe to Google AI Plus/Pro/Ultra and select Gemini 3 Pro (Thinking mode) for multimodal prompts.
  • Search AI Mode: In Google Search, enable “Thinking” to receive dynamic view or visual layout responses.
  • API / Vertex AI: Use the Gemini API or Vertex AI for programmatic access, supporting function calling, JSON output, and multimodal payloads.
  • Gemini Agent & IDE: Utilize the Antigravity IDE or JetBrains integration for agentic coding tasks involving terminals, editors, and browsers.
  • Workspace: Access Gemini 3 Pro within Google Docs, Gmail, and Sheets for drafting, summarizing, and data reasoning with extended context.
  • CLI / DevTools: Employ the Gemini CLI for scripting builds, testing, and data preparation with structured outputs.
Features of Gemini 3 Pro
  • Reasoning Power: Delivers PhD-level reasoning on complex exams, utilizing Dynamic Thinking for deliberation and Deep Think mode for challenging problems.
  • Context Reach: Handles up to 1 million tokens of input, enabling processing of extensive documents, research corpora, and video transcripts.
  • Multimodal Depth: Native understanding of text, images, video, audio, and PDFs with high scores on visual benchmarks.
  • Agentic Coding: Enhanced capabilities for generating prototypes, migrating code, and automating terminal operations.
  • Thinking Level: Developers can adjust thinking_level to balance latency and reasoning depth.
  • Dynamic Interfaces: In Google Search AI mode, provides interactive visual layouts and dynamic views.
  • Safety & Alignment: Improved defenses against prompt injection and disallowed content, with reduced sycophancy.
  • Adaptive Resolution: The media_resolution parameter allows selection of resolution for images, PDFs, and video frames to manage quality and token cost.
  • Benchmark Lead: Tops benchmarks like LMArena, and excels on exams such as Humanity’s Last Exam, SimpleQA Verified, Video-MMMU, MathArena Apex, and Terminal-Bench 2.0.
Use Cases of Gemini 3 Pro
  • Processing and synthesizing information from large documents, research papers, or video transcripts.
  • Generating product roadmaps and code prototypes from provided materials.
  • Automating coding tasks, including migrating legacy code and operating terminals.
  • Creating interactive visual layouts and dynamic views for search queries.
  • Drafting, summarizing, and performing data reasoning within Google Workspace applications.
  • Analyzing complex data for financial planning or supply-chain management.
  • Generating diagnostics on medical images or logs.
  • Building agentic workflows for various tasks.
Pricing
  • Google AI Plus: $19.99/mo; includes Gemini 3 Pro access in the app and Workspace, with visual layout responses.
  • Google AI Pro: $249.99/mo; offers more AI credits, higher limits, and preview access to Deep Research.
  • Google AI Ultra: Approximately $300/mo; includes Deep Think, Gemini Agent capabilities, and top video/image credits.
  • Enterprise/API: Pay-as-you-go via Vertex AI or Gemini API (approximately $2 per 1M input tokens; $12 per 1M output tokens). Multimodal rates vary.
  • Free Tier: Gemini 2.5 Flash remains free; Gemini 3 Pro requires paid tiers or API billing.
FAQ
  • 1. What is Gemini 3 Pro? Google DeepMind’s flagship multimodal LLM (Nov 2025) with top-tier reasoning, 1M-token context, and broad platform availability.
  • 2. How is Gemini 3 Pro different from Gemini 2.5 Pro? It outperforms 2.5 Pro on every major benchmark, adds video/audio/PDF support, a 1M context window, and stronger agentic coding capabilities.
  • 3. Where can I access Gemini 3 Pro? Gemini App, Google Search AI Mode, Workspace, Vertex AI, AI Studio, Gemini API, CLI, and Antigravity IDE.
  • 4. Does Gemini 3 Pro support multimodal input? Yes—text, images, video, audio, and PDFs are supported natively.
  • 5. What are the pricing options? AI Plus ($19.99/mo), AI Pro ($249.99/mo), AI Ultra (~$300/mo), and pay-as-you-go API rates.
  • 6. How strong is Gemini 3 Pro at coding? It supports agentic coding, function calling, structured outputs, and prototype generation; the Antigravity IDE integrates it deeply.
  • 7. What benchmarks does Gemini 3 Pro lead? LMArena (~1501 Elo), MMMU-Pro 81%, Video-MMMU 87.6%, plus strong math and reasoning exams.
  • 8. Is there a free version? Gemini 2.5 Flash remains free; Gemini 3 Pro requires paid plans or API billing.
  • 9. Does Gemini 3 Pro offer safety improvements? Yes—better prompt injection resistance, more grounded answers, and structured output options.
  • 10. Can I build agents with Gemini 3 Pro? Yes, via Gemini Agent workflows, function calling, Vertex AI tool integrations, and the upcoming Deep Think mode.

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