text-embedding-3-large
OpenAI's most capable embedding model for both English and non-English tasks; embeddings numerically represent text for search, clustering, recommendations, anomaly detection, and classification.
text → embedding · made by OpenAI
$0.13per Mtok in
OpenAI · 5 sellers
Sold by 6 ways
| Seller | Lane | Rate |
|---|---|---|
| Microsoft Azure AI cloud | standard | $0.13per Mtok inmodels.dev · read 2026-09-16 |
| OpenAI api | standard | $0.13per Mtok indevelopers.openai.com · read 2026-08-24 |
| Nous Research 2 ways | $0.065–$0.13 | |
| Nous Research aggregator | batch | $0.065per Mtok ininference-api.nousresearch.com · read 2026-09-12 |
| Nous Research aggregator | standard | $0.13per Mtok ininference-api.nousresearch.com · read 2026-09-12 |
| ElectronHub aggregator | standard | $0.13per Mtok inapi.electronhub.ai · read 2026-09-16 |
| Vercel AI Gateway aggregator | standard | $0.13per Mtok invercel.com · read 2026-08-25 |
About
text-embedding-3-large — a vectors model from OpenAI, sold by 5 companies from $0.13 per Mtok in.
It takes text and returns vectors, with a context window of 8,192 tokens. It was published in January 2024, trained on material up to January 2024. The catalogue files it under embedding. Five companies sell it. The cheapest is $0.13 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
- 3,072 tokens
- Published
- January 2024
- Knowledge to
- January 2024
- Licence
- not read
- Sellers
- 5
- Price
- $0.13 per Mtok in — ElectronHub
Known as 3 names
openai/text-embedding-3-largeopenai/text-embedding-3-large:batchOpenAI: Text Embedding 3 Large (batch)