LLM Reference

text-embedding-3 Models by OpenAI

OpenAIProprietary
2 models2024Up to 8k ctxFrom $0.02/1M input

Details

ResearcherOpenAI
LicenseProprietary
Commercial useCommercial use: conditional
Models2
Released2024
Max context8k

Links

Website

About

OpenAI's third-generation text embedding model family with improved retrieval performance and configurable output dimensions.

Current Variants

Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.

2 in view

Use when the workload needs embedding and 8k context.

2024-01embedding8k context

Use when the workload needs embedding and 8k context.

2024-01embedding8k context

Release Timeline

1 release group
2024-01
2 current
text-embedding-3-large
embedding8k context
Current
text-embedding-3-small
embedding8k context
Current

Specifications(2 models)

text-embedding-3 model specifications comparison
ModelReleasedContext
text-embedding-3-large2024-018k
text-embedding-3-small2024-018k

Available From(1 provider)

Pricing

text-embedding-3 model pricing by provider
ModelProviderInput / 1MOutput / 1MType
text-embedding-3-smallVercel AI Gateway$0.02Serverless
text-embedding-3-largeVercel AI Gateway$0.13Serverless

Frequently Asked Questions

What is text-embedding-3 used for?
text-embedding-3 is used for embedding. The family description and listed model capabilities point to those workloads as the best fit.
How does text-embedding-3 compare to GPT Realtime 2?
text-embedding-3 by OpenAI is strongest where you need embedding, while GPT Realtime 2 by OpenAI is the closest related family to check for realtime voice. text-embedding-3 has 2 listed variants and reaches up to 8k context, while GPT Realtime 2 reaches up to 131k context, so compare the specs and pricing tables before choosing a production model.
Which text-embedding-3 model should I use?
For the lowest listed input price, start with text-embedding-3-small through Vercel AI Gateway at $0.02/1M input tokens. For the most capable/latest local choice, evaluate text-embedding-3-large with 8k context.