Marengo Embed 3.0
Bedrock
twelvelabs/marengo-embed-3.0
Text embedding model
Context Window
β
Max Output
β
About this model
TwelveLabs Marengo β multimodal video+text embedding via Bedrock
This model includes native vision understanding for analyzing images and documents.
Access it through Chuizi.AI with a single ck- API key β no separate Twelve Labs account needed.
Highlights
Native vision support
Semantic similarity
Efficient encoding
Multilingual support
Best For
Semantic searchRAG pipelinesContent clusteringRecommendation systems
2025-06-01
Capabilities
EmbeddingVision
Aliases
marengo-embed-3.0Pricing (per 1M tokens)
| Pricing (per 1M tokens) | / 1M tokens |
|---|---|
| Input / 1M | $0.0000 |
| Output / 1M | $0.0000 |
Final prices shown
Quick Start
main.py
from openai import OpenAI client = OpenAI( base_url="https://api.chuizi.ai/v1", api_key="ck-your-key-here", ) response = client.embeddings.create( model="twelvelabs/marengo-embed-3.0", input="Hello, world!", ) print(response.data[0].embedding[:5]) # First 5 dimensions