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.

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 Pro .

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

Supported

Not supported

Usage types

Supported

Not supported

Fixed quota

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 dynamic shared quota & 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

See Security controls for more information.

Supported languages

See Supported languages .

Pricing

See Pricing .

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Gemini 3 Pro