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_levelto 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_resolutionparameter 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.




