Gemini Embedding 2

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.

For more information on how to use Gemini Embedding 2, see Get multimodal embeddings.

View pricing

Model ID gemini-embedding-2
Modalities
Text Input only
Image Input only
Audio Input only
Video Input only
Embeddings Output only
Token limits Maximum input tokens 8,192
Maximum output tokens N/A
Output dimensions Up to 3,072 (with MRL support)
Maximum sequence length 8,192 tokens
Consumption options
Technical specifications Text
  • Maximum input tokens: 8,192
  • Maximum number of files per prompt: 1
  • Maximum number of pages per file (for PDF): 6
  • Maximum file size per file: N/A
  • OCR for scanned PDFs: Not used by default
  • Supported MIME types:
    text/plain, application/pdf
Image
  • 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, image/webp, image/bmp, image/heic, image/heif, image/avif
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: 180 seconds
  • Maximum number of audio files per prompt: 1
  • Supported MIME types:
    audio/mp3, audio/wav
Supported regions

Model availability

  • Global: global
  • United States multi-region: us
  • Europe multi-region: eu
Knowledge cutoff date November 2025
Versions
  • gemini-embedding-2
    • Launch stage: GA
    • Release date: April 22, 2026
  • gemini-embedding-2-preview
    • Launch stage: Public preview
    • Release date: March 10, 2026