Gemini 3.1 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 3.1 Pro is our most advanced reasoning Gemini model, capable of solving complex problems. Gemini 3.1 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.

For more information on using the latest Gemini models, see Get started with Gemini 3.

Quality improvements

Gemini 3.1 Pro includes several quality improvements:

• Improved SWE and agentic capabilities: Improved software engineering behavior and usability, with agentic improvements in domains like finance and spreadsheet applications.
• Improved token efficiency and thinking: More efficient thinking across various use cases.
• Expanded thinking levels: Introduces MEDIUM as a thinking_level parameter for more options to optimize trade-offs between cost, performance, and speed.

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-3.1-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 Gemini Live API
Consumption options	Supported Provisioned Throughput Standard PayGo Flex PayGo Priority PayGo Batch prediction Not supported
	See Consumption options for more information.
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	Global global
	See Deployments and endpoints for more information.
Knowledge cutoff date	January 2025
Versions	gemini-3.1-pro-preview Launch stage: Public preview Release date: February 19, 2026
Supported languages	See Supported languages.
Pricing	See Pricing.