G

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Gemini 3 Pro is Google DeepMind’s flagship multimodal AI, announced for preview on Nov 18–19, 2025. It features a 1M-token context window, PhD-level reasoning with Dynamic Thinking and a future Deep Think mode, and advanced agentic coding capabilities. Built on a transformer architecture, it natively ingests text, images, video, audio, and PDFs, outputting long-form text and code with advanced tool calling and structured outputs. It is purpose-built as Google’s most intelligent model for agentic tasks and “vibe coding,” enabling users to plan, learn, and build creative code-driven experiences across various modalities.
Google DeepMind's flagship multimodal AI with 1M context.
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What is G?

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

Gemini 3 Pro is Google DeepMind’s flagship multimodal AI, announced for preview on Nov 18–19, 2025. It features a 1M-token context window, PhD-level reasoning with Dynamic Thinking and a future Deep Think mode, and advanced agentic coding capabilities. Built on a transformer architecture, it natively ingests text, images, video, audio, and PDFs, outputting long-form text and code with advanced tool calling and structured outputs. It is purpose-built as Google’s most intelligent model for agentic tasks and “vibe coding,” enabling users to plan, learn, and build creative code-driven experiences across various modalities.

Core Features
PhD-level reasoning with Dynamic Thinking and Deep Think mode
1M-token input context for processing extensive data
Native multimodal understanding of text, images, video, audio, and PDFs
Advanced agentic coding for generating prototypes, migrating code, and operating terminals
Configurable `thinking_level` to balance latency and reasoning depth
Dynamic interfaces in Google Search AI mode for interactive mini-web apps
Enhanced safety and alignment against prompt injection and disallowed content
Adaptive resolution for media inputs to optimize quality and token cost
Leading performance on benchmarks like LMArena, MMMU-Pro, and Video-MMMU
Popular Use Cases
  • Generating product roadmaps and React prototypes from PDFs and sketches
  • Planning, coding, and reasoning with large contexts across various media types
  • Performing diagnostics on medical images/logs and generating transcripts and metadata
  • Creating high-fidelity UI prototypes from sketches and long-horizon business plans
  • Facilitating financial planning, supply-chain analysis, and automated terminal workflows
  • Drafting, summarizing, and data reasoning within Google Workspace applications
Feature Comparison
A functional comparison based on maker input.
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Comparison details are provided for informational purposes and should be verified with the official website.
How to use
  • Gemini 3 Pro can be accessed and used in several ways: through the Gemini App by subscribing to Google AI Plus/Pro/Ultra and selecting 'Thinking mode' for multimodal prompts; via Google Search AI Mode (US first) by choosing AI Pro/Ultra and enabling 'Thinking' for dynamic view responses; programmatically using the Gemini API or Vertex AI for function calling and multimodal payloads; integrating with Antigravity IDE or JetBrains for agentic coding tasks; selecting Gemini 3 Pro in Google Workspace (Docs
  • Gmail
  • Sheets) for drafting
  • summarizing
  • and data reasoning; and scripting builds
  • testing
  • and data prep with structured outputs using the Gemini CLI (for Ultra or API users).
Pricing
G uses a paid pricing model. Pricing and features may change over time.
Pricing page
Google AI Plus
$19.99/mo
Gemini 3 Pro access in app & Workspace; trial available. Includes visual layout responses.
Google AI Pro
$249.99/mo
More AI credits, higher limits, preview Deep Research. Balanced for teams and builders.
Google AI Ultra
≈$300/mo
Deep Think, Gemini Agent, top video/image credits. US-first rollout; expanding globally.
Enterprise/API
~$2 per 1M input tokens; ~$12 per 1M output tokens
Pay-as-you-go via Vertex AI or Gemini API. Multimodal rates vary.
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