Text-Embedding-3-Small
OpenAI · Lightweight · 8K context
Vector embedding model
Rates per million tokens
Input
$0.02
Output
—
Cache read
—
Model id
Pass this as model in any OpenAI-compatible request.
Call it
from openai import OpenAI
client = OpenAI(
base_url="https://api.routedly.ai/v1",
api_key="sk-sr-cli-..."
)
response = client.chat.completions.create(
model="openai-text-embedding-3-small",
messages=[{"role": "user", "content": "Say hello"}],
)
print(response.choices[0].message.content)Start calling Text-Embedding-3-Small
One key works across every model in the catalog. No per-provider accounts.