OpenAIPaidOperational
Text Embedding Ada 002
API model name: text-embedding-ada-002
Text Embedding Ada 002 is OpenAI's embedding model, served on the Api.Airforce unified API. It is priced at $0.11 per million input tokens and $0.13 per million output tokens. That is below the provider's $0.10 official input rate. Access it through the OpenAI-compatible API with one key, alongside 100+ other models on Api.Airforce.
Pricing
Api.Airforce price vs. the provider's official rate.
Specifications
- Provider
- OpenAI
- Type
- embedding model
What is Text Embedding Ada 002 used for?
- models.detail.useCases.embedding
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Text Embedding Ada 002 — frequently asked questions
- How much does Text Embedding Ada 002 cost?
- Text Embedding Ada 002 is billed pay-as-you-go at $0.11 per 1M input tokens and $0.13 per 1M output tokens. There is no subscription — you only pay for what you use.
- What can Text Embedding Ada 002 do?
- Text Embedding Ada 002 is OpenAI's embedding model, accessible through the Api.Airforce API.
- Is Text Embedding Ada 002 free to use?
- Text Embedding Ada 002 is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
- How do I use Text Embedding Ada 002 via the API?
- Text Embedding Ada 002 is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID text-embedding-ada-002 with your Api.Airforce API key.
- Who makes Text Embedding Ada 002?
- Text Embedding Ada 002 is OpenAI's embedding model, served through the unified Api.Airforce gateway alongside 100+ other models.
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Use Text Embedding Ada 002 via the API
OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass text-embedding-ada-002 as the model.
cURL
curl https://api.airforce/v1/chat/completions \
-H "Authorization: Bearer $AIRFORCE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "text-embedding-ada-002",
"messages": [{ "role": "user", "content": "Hello!" }]
}'Python
from openai import OpenAI
client = OpenAI(base_url="https://api.airforce/v1", api_key="$AIRFORCE_API_KEY")
r = client.chat.completions.create(
model="text-embedding-ada-002",
messages=[{"role": "user", "content": "Hello!"}],
)
print(r.choices[0].message.content)JavaScript
import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.airforce/v1", apiKey: process.env.AIRFORCE_API_KEY });
const r = await client.chat.completions.create({
model: "text-embedding-ada-002",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);