text-embedding-ada-002
An older embedding model, described as an improved, more performant version of the ada embedding model; embeddings numerically represent text for search, clustering, recommendations, anomaly detection, and classification.
text → embedding · made by OpenAI
Sold by 6 ways
| Seller | Lane | Rate |
|---|---|---|
| Microsoft Azure AI cloud | standard | $0.1per Mtok inmodels.dev · read 2026-09-16 |
| OpenAI api | standard | $0.1per Mtok indevelopers.openai.com · read 2026-08-24 |
| Nous Research 2 ways | $0.05–$0.1 | |
| Nous Research aggregator | batch | $0.05per Mtok ininference-api.nousresearch.com · read 2026-09-12 |
| Nous Research aggregator | standard | $0.1per Mtok ininference-api.nousresearch.com · read 2026-09-12 |
| ElectronHub aggregator | standard | $0.1per Mtok inapi.electronhub.ai · read 2026-09-16 |
| Vercel AI Gateway aggregator | standard | $0.1per Mtok inai-gateway.vercel.sh · read 2026-08-25 |
About
text-embedding-ada-002 — a vectors model from OpenAI, sold by 5 companies from $0.1 per Mtok in.
It takes text and returns vectors, with a context window of 8,192 tokens. It was published in December 2022, trained on material up to December 2022. The catalogue files it under embedding. Five companies sell it. The cheapest is $0.1 per Mtok in at ElectronHub. Beside the standard rate there is a batch lane.
Every current figure
- Maker
- OpenAI
- Register
- model
- Takes
- text
- Returns
- embedding
- Context
- 8,192 tokens
- Longest answer
- 1,536 tokens
- Published
- December 2022
- Knowledge to
- December 2022
- Licence
- not read
- Sellers
- 5
- Price
- $0.1 per Mtok in — ElectronHub
Known as 3 names
openai/text-embedding-ada-002openai/text-embedding-ada-002:batchOpenAI: Text Embedding Ada 002 (batch)