Gemini 3 Pro

Preview

This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the Service Specific Terms, and the Additional Terms for Generative AI Preview Products. You can process personal data for this product or feature as outlined in the Cloud Data Processing Addendum, subject to the obligations and restrictions described in the agreement under which you access Google Cloud. Pre-GA products and features are available "as is" and might have limited support. For more information, see the launch stage descriptions.

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.

Note: PDF token counts will be listed under the IMAGE modality instead of the DOCUMENT modality in usage_metadata.

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 Grounding with Google Search Code execution System instructions Structured output Function calling Count Tokens Thinking Implicit context caching Explicit context caching Vertex AI RAG Engine Chat completions Not supported Tuning Live API Preview feature
Usage types	Supported Provisioned Throughput Dynamic shared quota Batch prediction Not supported Fixed quota
Technical specifications
	Images	Maximum images per prompt: 900 Maximum image size: 7 MB Default resolution tokens: 1120 Supported MIME types: image/png, image/jpeg, image/webp
	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 Data residency 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.