Gemini 3 Pro

Flagship multimodal AI with 1M context and agentic coding
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Gemini 3 Pro is Google DeepMind’s flagship multimodal model, introduced in preview on Nov 18–19, 2025. Designed for long-horizon reasoning and agentic building, it combines a very large 1M-token context window with advanced “Dynamic Thinking” to tackle complex problems that require planning, iteration, and deep context retention. A future Deep Think mode is positioned to push even further on multi-step reasoning.

Built on a transformer architecture, Gemini 3 Pro natively understands and mixes text with images, video, audio, and PDFs—making it well-suited for workflows where the source material is scattered across documents, media, and codebases. It generates long-form responses and production-oriented code, and it supports structured outputs and tool/function calling for integrating with applications, services, and automated pipelines.

Gemini 3 Pro is presented as Google’s most capable model for agentic tasks and “vibe coding”: drafting plans, writing and refactoring code, migrating projects, generating prototypes, and orchestrating multi-step tasks such as testing, data preparation, or terminal-style automation. Users can access it through the Gemini app (via Google AI subscriptions and Thinking mode), Google Search AI Mode (where Thinking enables more dynamic, interactive responses), or programmatically via the Gemini API and Vertex AI for multimodal payloads and function calling. It also fits into daily productivity via Google Workspace (Docs, Gmail, Sheets) for drafting, summarizing, and reasoning over data. more

Review Summary

Features

  • 1M-token context window for large documents and long conversations
  • Native multimodal input: text, images, video, audio, and PDFs
  • PhD-level reasoning with Dynamic Thinking; future Deep Think mode
  • Agentic coding: prototyping, refactoring, migration, and terminal-style workflows
  • Structured outputs plus tool/function calling for integrations
  • Configurable reasoning depth (e.g., `thinking_level`) to tune latency vs quality
  • Google Search AI Mode support for more interactive, dynamic responses
  • Workspace integration for drafting, summarization, and data reasoning
  • Adaptive media resolution to optimize quality and token cost
  • Enhanced safety and alignment, including prompt-injection defenses

How It’s Used

  • Generate product roadmaps and React prototypes from PDFs, sketches, and notes
  • Plan and execute large-context research and analysis across mixed media
  • Analyze medical images/logs, create transcripts, and produce structured metadata
  • Create high-fidelity UI prototypes from rough wireframes and business requirements
  • Support financial planning, supply-chain analysis, and automated ops workflows
  • Draft, summarize, and reason over emails, documents, and spreadsheets in Workspace

Plans & Pricing

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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