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.
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.
