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    Gemini 3 Pro

    Gemini 3 Pro is our most advanced reasoning Gemini model, capable of solving complex problems. Gemini 3 Pro can comprehend vast datasets and challenging problems from different information sources, including text, audio, images, video, PDFs, and even entire code repositories with its 1M token context window.

    Quality changes

    When migrating from Gemini 2.5 Pro to Gemini 3 Pro, you can expect to see significant improvements in high-level reasoning, complex instruction following, tool use, agentic use cases, and better long context capabilities (including image and document understanding). Gemini 3 Pro models aren't designed around prioritizing supporting audio understanding or image segmentation use cases. For high performance output on those use cases, try using models specifically built with those needs in mind. For information-dense or complicated graphs, tables, or charts, the model can sometimes incorrectly extract information or misinterpret the provided resources. Presenting key information in as straightforward a manner as possible can help ensure the preferred output when working with Gemini 3 Pro.

    Behavior changes

    Gemini 3 Pro is designed for high efficiency and action. The model has been trained to provide concise, direct answers and to attempt to solve user intent as quickly as possible. Because the model is designed to prioritize being helpful, it may occasionally guess when information is missing or prioritize a satisfying answer over strict instructions. This behavior can be mitigated or modified with prompting. For more information and best practices, see Get started with Gemini 3 .

    New features

    Gemini 3 Pro introduces several new features to improve performance, control, and multimodal fidelity:

    • Thinking level: Use the thinking_level parameter to control the amount of internal reasoning the model performs ( low or high ) to balance response quality, reasoning complexity, latency, and cost. The thinking_level parameter replaces thinking_budget for Gemini 3 models.
    • Media resolution: Use the media_resolution parameter ( low , medium , or high ) to control vision processing for multimodal inputs, impacting token usage and latency. See Get started with Gemini 3 for default resolution settings.
    • Thought signatures: Stricter validation of thought signatures improves reliability in multi-turn function calling.
    • Multimodal function responses: Function responses can now include multimodal objects like images and PDFs in addition to text .
    • Streaming function calling: Stream partial function call arguments to improve user experience during tool use.

    For more information on using these features, see Get started with Gemini 3 .

    Try in Vertex AI View in Model Garden (Preview) Deploy example app

    Note: To use the "Deploy example app" feature, you need a Google Cloud project with billing and Vertex AI API enabled.
    Model ID
    gemini-3-pro-preview
    Supported inputs & outputs
    • Inputs:
      Text , Code , Images , Audio , Video , PDF
    • Outputs:
      Text
    Token limits
    • Maximum input tokens: 1,048,576
    • Maximum output tokens: 65,536
    Capabilities
    Usage types
    Technical specifications
    Images
    • Maximum images per prompt: 900
    • Maximum file size per file for inline data or direct uploads through the console: 7 MB
    • Maximum file size per file from Google Cloud Storage: 30 MB
    • Default resolution tokens: 1120
    • Supported MIME types:
      image/png , image/jpeg , image/webp , image/heic , image/heif
    Documents
    • Maximum number of files per prompt: 900
    • Maximum number of pages per file: 900
    • Maximum file size per file for the API or Cloud Storage imports: 50 MB
    • Maximum file size per file for direct uploads through the console: 7 MB
    • Default resolution tokens: 560
    • OCR for scanned PDFs: Not used by default
    • Supported MIME types:
      application/pdf , text/plain
    Video
    • Maximum video length (with audio): Approximately 45 minutes
    • Maximum video length (without audio): Approximately 1 hour
    • Maximum number of videos per prompt: 10
    • Default resolution tokens per frame: 70
    • Supported MIME types:
      video/x-flv , video/quicktime , video/mpeg , video/mpegs , video/mpg , video/mp4 , video/webm , video/wmv , video/3gpp
    Audio
    • Maximum audio length per prompt: Approximately 8.4 hours, or up to 1 million tokens
    • Maximum number of audio files per prompt: 1
    • Speech understanding for: Audio summarization, transcription, and translation
    • Supported MIME types:
      audio/x-aac , audio/flac , audio/mp3 , audio/m4a , audio/mpeg , audio/mpga , audio/mp4 , audio/ogg , audio/pcm , audio/wav , audio/webm
    Parameter defaults
    • Temperature: 0.0-2.0 (default 1.0)
    • topP: 0.0-1.0 (default 0.95)
    • topK: 64 (fixed)
    • candidateCount: 1–8 (default 1)
    Supported regions

    Model availability

    (Includes Standard PayGo & Provisioned Throughput)

    • Global
      • global
    See Deployments and endpoints for more information.
    Knowledge cutoff date
    January 2025
    Versions
    • gemini-3-pro-preview
      • Launch stage: Public preview
      • Release date: November 18, 2025
    Security controls
    Online prediction
    • Data residency
    • CMEK
    • VPC-SC
    • AXT
    Batch prediction
    • Data residency
    • CMEK
    • VPC-SC
    • AXT
    Tuning
    • Data residency
    • CMEK
    • VPC-SC
    • AXT
    Context caching
    • Data residency
    • CMEK
    • VPC-SC
    • AXT
    See Security controls for more information.
    Supported languages
    See Supported languages .
    Pricing
    See Pricing .
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