OpenAI: text-embedding-ada-002 · fastrouter

Name: OpenAI: text-embedding-ada-002
Brand: OpenAI
Price: 0.1 USD
Availability: InStock

text-embedding-ada-002 (often called ada v2) is an earlier-generation OpenAI embedding model for general semantic tasks like text and code search, clustering, and classification. It produces 1536-dimensional embeddings and was initially state-of-the-art for tasks such as text search, code search, and sentence similarity. Its performance on benchmarks is moderate (around 61% on MTEB), and it costs about $0.10 per 1K tokens. Ada-002 is suited to general retrieval and similarity tasks but is generally considered a legacy model; newer v3 models (3-small and 3-large) have mostly superseded it for better efficiency or accuracy. In fact, documentation notes that ada-002 is primarily kept for legacy use cases, while most new applications use the 3-small or 3-large models for improved performance.

Base model All models on this base All models of the provider to the provider

Input, $/1M $0.10

Output, $/1M —

Context 8 192

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Last checked 04.11.2026 12:00:14 UTC

Source provider's page

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API

OpenAI-compatible API: the official OpenAI SDKs work with this base URL. Replace YOUR_API_KEY with your key from the provider.

API base URL	`https://go.fastrouter.ai/api/v1`
Endpoint	`https://go.fastrouter.ai/api/v1/embeddings`
Model id	`openai/text-embedding-ada-002`

curl

curl https://go.fastrouter.ai/api/v1/embeddings \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "openai/text-embedding-ada-002", "input": ["first text", "second text"]}'

Python

import requests

r = requests.post(
    "https://go.fastrouter.ai/api/v1/embeddings",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
      "model": "openai/text-embedding-ada-002",
      "input": [
        "first text",
        "second text"
      ]
    },
)
print(r.json())

JavaScript

const r = await fetch("https://go.fastrouter.ai/api/v1/embeddings", {
  method: "POST",
  headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
  body: JSON.stringify({
    "model": "openai/text-embedding-ada-002",
    "input": [
      "first text",
      "second text"
    ]
  }),
});
console.log(await r.json());

Request (JSON)

{
  "model": "openai/text-embedding-ada-002",
  "input": [
    "first text",
    "second text"
  ]
}

Response (JSON)

{
  "object": "list",
  "model": "openai/text-embedding-ada-002",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [
        0.0123,
        -0.0456,
        "..."
      ]
    }
  ],
  "usage": {
    "prompt_tokens": 6,
    "total_tokens": 6
  }
}

The address is taken from the provider's model list; check it against the provider's documentation.

Provider's API documentation

Source: AI Rate Card, https://airatecard.com/en/c/offer%3Afastrouter%7Copenai/text-embedding-ada-002, prices checked 2026-11-04; seller's page: https://fastrouter.ai/models/openai/text-embedding-ada-002

Technical details

ID: offer:fastrouter|openai/text-embedding-ada-002