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Gemini 3 Pro

Freemium
AI ModelsFreemium
Type
Saas
Company
Gemini 3 Pro

About Gemini 3 Pro

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.

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).

Gemini 3 Pro's

Key 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

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

Key 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

Best For

Generating product roadmaps and React prototypes from PDFs and sketchesPlanning, coding, and reasoning with large contexts across various media typesPerforming diagnostics on medical images/logs and generating transcripts and metadataCreating high-fidelity UI prototypes from sketches and long-horizon business plansFacilitating financial planning, supply-chain analysis, and automated terminal workflowsDrafting, summarizing, and data reasoning within Google Workspace applications

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