Embed V4
Cohere
cohere/embed-v4
Text embedding model
Context Window
128K
128,000 tokens
Max Output
—
About this model
Cohere Embed V4 — latest embedding model via Bedrock
Access it through Chuizi.AI with a single ck- API key — no separate Cohere account needed.
Highlights
Semantic similarity
Efficient encoding
Multilingual support
Best For
Semantic searchRAG pipelinesContent clusteringRecommendation systems
2025-04-15
Capabilities
Embedding
Aliases
embed-v4Pricing (per 1M tokens)
| Pricing (per 1M tokens) | / 1M tokens |
|---|---|
| Input / 1M | $0.06 |
| 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="cohere/embed-v4", input="Hello, world!", ) print(response.data[0].embedding[:5]) # First 5 dimensions