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OpenAI: text-embedding-3-small · fastrouter

text-embedding-3-small is a compact OpenAI text embedding model designed for general-purpose semantic tasks (search, classification, similarity) with high throughput. It produces 1536-dimensional vectors and is optimized for efficiency. Its cost is very low (about $0.02 per 1K tokens), making it far cheaper than larger models, though its accuracy is correspondingly slightly lower (MTEB benchmark ~62.3%). The model is ideal for cost-sensitive or high-throughput scenarios where good semantic embeddings are needed but ultra-high accuracy is not critical. In practice, it still performs well on search and retrieval tasks, but trades off some accuracy and richness of representation relative to the larger embedding models.

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Entrada, $/1M $0.02

Salida, $/1M —

Contexto 8 192

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Última comprobación 04.11.2026 12:00:14 UTC

Fuente página del proveedor

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API

API compatible con OpenAI: los SDK oficiales de OpenAI funcionan con esta URL base. Sustituye YOUR_API_KEY por tu clave del proveedor.

URL base de la API
https://go.fastrouter.ai/api/v1
Endpoint
https://go.fastrouter.ai/api/v1/embeddings
ID del modelo
openai/text-embedding-3-small
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-3-small", "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-3-small",
      "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-3-small",
    "input": [
      "first text",
      "second text"
    ]
  }),
});
console.log(await r.json());
Solicitud (JSON)
{
  "model": "openai/text-embedding-3-small",
  "input": [
    "first text",
    "second text"
  ]
}
Respuesta (JSON)
{
  "object": "list",
  "model": "openai/text-embedding-3-small",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [
        0.0123,
        -0.0456,
        "..."
      ]
    }
  ],
  "usage": {
    "prompt_tokens": 6,
    "total_tokens": 6
  }
}

La dirección se toma de la lista de modelos del proveedor; compruébala con su documentación.

Documentación de la API del proveedor

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

Datos técnicos

ID: offer:fastrouter|openai/text-embedding-3-small