Using text-embedding-ada-002 on Vercel AI Gateway
Implementation guide · text-embedding-ada · OpenAI
Serverless
Vercel AI Gateway exposes text-embedding-ada-002 through model ID openai/text-embedding-ada-002. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-29. Next refresh: weekly.
Quick Start
- 1
- 2Use the Vercel AI Gateway SDK or REST API to call
openai/text-embedding-ada-002— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
AI_GATEWAY_API_KEYModel ID
openai/text-embedding-ada-002creator/model-name e.g. kwaipilot/kat-coder-pro-v2
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
model="openai/text-embedding-ada-002",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Vercel AI Gateway
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
Capabilities
No model capability flags are currently sourced.
About text-embedding-ada-002
OpenAI's Ada-002 text embedding model. Legacy but widely deployed; succeeded by text-embedding-3 series. 1536 output dimensions.
Model Specs
Released2022-12-15
Context8k
Knowledge cutoff2021-09