Gemini Embedding 2

Preview

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Gemini Embedding 2 is Google's embedding generation model that's ideal for complex retrieval and analytics tasks.

Gemini Embedding 2 accepts multimodal inputs to generate 3072-dimensional vectors. It accepts images, text, documents, audio, and video inputs and semantically maps the generated vectors into a unified semantic space. This lets you perform tasks, such as searching for an image based on a text description.

Gemini Embedding 2 introduces several features to optimize embedding quality and flexibility:

• Custom task instructions: By specifying task instructions—for example, task:code retrieval or task:search result—optimize the embeddings for the intended relationships and retrieve more accurate results for the specific goal.

• Adjustable result size: The model generates a 3072-dimensional float vector, by default. However, you can retrieve a smaller dimensional output by specifying the output_dimensionality parameter.

• Document OCR: Read OCR from document inputs.

• Audio track extraction: Extract audio tracks from video inputs and interleave them with video frames.

Try in Vertex AI (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-embedding-2-preview
Supported inputs & outputs	Inputs: Text, Images, Audio, Video, PDF Outputs: Embeddings
Token limits	Maximum input tokens: 8,192 Maximum output tokens: N/A
Maximum sequence length	8,192 tokens
Output dimensions	Up to 3,072 (with MRL support)
Consumption options	Supported Standard PayGo Not supported Provisioned Throughput Flex PayGo Priority PayGo Batch prediction
	See Consumption options for more information.
Technical specifications
	Images	Maximum images per prompt: 6 Maximum file size per file for inline data or direct uploads through the console: No limit Maximum file size per file from Google Cloud Storage: No limit Maximum number of output images per prompt: N/A Supported MIME types: image/png, image/jpeg
	Documents	Maximum number of files per prompt: 1 Maximum number of pages per file: 6 Maximum file size per file: N/A Supported MIME types: application/pdf
	Video	Maximum video length (with audio): 80 seconds Maximum video length (without audio): 120 seconds Maximum number of videos per prompt: 1 Supported MIME types: video/mpeg, video/mp4
	Audio	Maximum audio length per prompt: 80 seconds Maximum number of audio files per prompt: 1 Supported MIME types: audio/mp3, audio/wav
	Parameter defaults
Supported regions
	Model availability	United States us-central1
	See Deployments and endpoints for more information.
Knowledge cutoff date	November 2025
Versions	gemini-embedding-2-preview Launch stage: Public preview Release date: March 10, 2026
Supported languages	See Supported languages.
Pricing	See Pricing.