Embeddings API Guide

Available Models

text-embedding-3-small (1536 dimensions by default, cost-effective)

text-embedding-3-large (3072 dimensions by default, higher quality)

text-embedding-ada-002 (legacy, for compatibility)

text-embedding-v1

Refer to the response of GET /v1/models for the authoritative list.

Basic Usage

Response Format

{
  "object": "list",
  "data": [
    {"object": "embedding", "index": 0, "embedding": [-0.0069, -0.0053, "..."]}
  ],
  "model": "text-embedding-3-small",
  "usage": {"prompt_tokens": 5, "total_tokens": 5}
}

Batch Processing Example

Technical Details

text-embedding-3-* supports the dimensions parameter to reduce dimensionality

Billed by the number of input tokens

Maximum of 8191 tokens per request

Common Use Cases

Semantic search, RAG retrieval, clustering and deduplication, similar-question matching, and candidate retrieval for recommendations.

Last verified/modified: 2026-09-28 (Base URL changed to api.crazyrouter.com; removed OpenAI's official pages-per-dollar price table; examples not run live)

Python Embeddings

Embeddings API Guide#

Available Models#

Basic Usage#

Response Format#

Batch Processing Example#

Technical Details#