AI Rate CardGemini Embedding 001 · vercel
State-of-the-art embedding model with excellent performance across English, multilingual and code tasks.
Eingabe, $/1M $0.15
Ausgabe, $/1M —
Preisalarme
API
OpenAI-kompatible API: Die offiziellen OpenAI-SDKs funktionieren mit dieser Basis-URL. Ersetzen Sie YOUR_API_KEY durch Ihren Schlüssel vom Anbieter.
| API-Basis-URL | |
|---|---|
| Endpunkt | |
| Modell-ID | |
curl
curl https://ai-gateway.vercel.sh/v1/embeddings \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "google/gemini-embedding-001", "input": ["first text", "second text"]}'Python
import requests
r = requests.post(
"https://ai-gateway.vercel.sh/v1/embeddings",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={
"model": "google/gemini-embedding-001",
"input": [
"first text",
"second text"
]
},
)
print(r.json())JavaScript
const r = await fetch("https://ai-gateway.vercel.sh/v1/embeddings", {
method: "POST",
headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
body: JSON.stringify({
"model": "google/gemini-embedding-001",
"input": [
"first text",
"second text"
]
}),
});
console.log(await r.json());Anfrage (JSON)
{
"model": "google/gemini-embedding-001",
"input": [
"first text",
"second text"
]
}Antwort (JSON)
{
"object": "list",
"model": "google/gemini-embedding-001",
"data": [
{
"object": "embedding",
"index": 0,
"embedding": [
0.0123,
-0.0456,
"..."
]
}
],
"usage": {
"prompt_tokens": 6,
"total_tokens": 6
}
}Die Adresse stammt aus der Modellliste des Anbieters; bitte mit seiner Dokumentation abgleichen.
Source: AI Rate Card, https://airatecard.com/de/c/offer%3Avercel%7Cgoogle/gemini-embedding-001, prices checked 2026-11-04; seller's page: https://vercel.com/ai-gateway/models/gemini-embedding-001
Technische Details
ID: offer:vercel|google/gemini-embedding-001