Gemini Embedding 2

Overview

Gemini Embedding 2 is Google's first natively multimodal embedding model, released March 10, 2026. It maps text, images, videos, audio and documents into a unified embedding space, capturing semantic intent across more than 100 languages.

Key Features

Multimodal Support

• Text: Up to 8,192 input tokens
• Images: Up to 6 images per request (PNG or JPEG)
• Audio: Maximum 80 seconds per request (MP3 or WAV)
• Video: Maximum 128 seconds per request (MP4 or MOV)
• Documents: PDF files up to 6 pages directly

Flexible Dimensions

Supports multiple output dimensions:

• 3,072 dimensions (default)
• 1,536 dimensions
• 768 dimensions

Uses Matryoshka Representation Learning for dimension truncation without significant accuracy loss.

Language Support

Captures semantic relationships across over 100 languages, making it suitable for global applications.

Performance

Gemini Embedding 2 establishes new performance standards:

• Outperforms leading models in text, image, and video tasks
• Strong speech capabilities for audio processing
• Superior multimodal depth in cross-modal retrieval

Use Cases

• Semantic Search: Multi-language and multimodal search applications
• RAG Systems: Retrieval-Augmented Generation with diverse data types
• Sentiment Analysis: Text and audio sentiment understanding
• Data Clustering: Grouping similar content across modalities
• Recommendation Systems: Cross-modal content recommendations
• Content Moderation: Multi-format content classification
• Video Understanding: Temporal and visual content analysis

Integration

Available through:

• Google Gemini API
• Vertex AI
• LangChain
• LlamaIndex
• Haystack
• Weaviate
• Qdrant
• ChromaDB
• Vertex AI Vector Search

Technical Specifications

• Model Type: Multimodal embedding transformer
• Context Window: 8,192 tokens for text
• Embedding Dimensions: 768 / 1,536 / 3,072
• Languages: 100+
• Modalities: Text, Image, Video, Audio, Documents

Pricing

Pricing varies based on:

• Number of API calls
• Input modality and size
• Output dimension selection

Details available on Google Cloud pricing page.