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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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Entrée, $/1M $0.02

Sortie, $/1M —

Contexte 8 192

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Dernière vérification 04.11.2026 12:00:14 UTC

Source page du fournisseur

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API

API compatible OpenAI : les SDK officiels d'OpenAI fonctionnent avec cette URL de base. Remplacez YOUR_API_KEY par votre clé du fournisseur.

URL de base de l'API
https://go.fastrouter.ai/api/v1
Point de terminaison
https://go.fastrouter.ai/api/v1/embeddings
ID du modèle
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());
Requête (JSON)
{
  "model": "openai/text-embedding-3-small",
  "input": [
    "first text",
    "second text"
  ]
}
Réponse (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
  }
}

L'adresse provient de la liste de modèles du fournisseur ; vérifiez-la dans sa documentation.

Documentation API du fournisseur

Source: AI Rate Card, https://airatecard.com/fr/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

Détails techniques

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