⚡ Zen LM
Models

zen3-embedding

High-quality text embedding model with 3072 dimensions and 8K context.

zen3-embedding

Text Embeddings

High-quality text embeddings for search, clustering, and retrieval. 3072-dimensional dense vectors optimized for semantic similarity.

Specifications

PropertyValue
Model IDzen3-embedding
Dimensions3,072
Context Window8K tokens
Tierpro max
Input Price$0.39 / 1M tokens
Output Price$0.39 / 1M tokens

Capabilities

  • Semantic search by meaning, not keywords
  • RAG pipeline retrieval
  • Document clustering and deduplication
  • Classification feature generation
  • 3072-dimensional dense vectors

API Usage

curl https://api.hanzo.ai/v1/embeddings \
  -H "Authorization: Bearer $HANZO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zen3-embedding",
    "input": "Zen LM is a family of frontier AI models"
  }'
from hanzoai import Hanzo

client = Hanzo(api_key="hk-your-api-key")

response = client.embeddings.create(
    model="zen3-embedding",
    input=["Hello world", "Zen LM models"],
)

for embedding in response.data:
    print(f"Vector dim: {len(embedding.embedding)}")

Response Format

{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [0.0023, -0.0091, 0.0152, "..."]
    }
  ],
  "model": "zen3-embedding",
  "usage": {
    "prompt_tokens": 8,
    "total_tokens": 8
  }
}

See Also

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