text-embedding-ada Models by OpenAI
OpenAIProprietary
1 model2022Up to 8k ctxFrom $0.1/1M input
Details
ResearcherOpenAI
LicenseProprietary
Commercial useCommercial use: conditional
Models1
Released2022
Max context8k
Links
WebsiteAbout
OpenAI's Ada-based text embedding model family (legacy). text-embedding-ada-002 was the standard embedding model before text-embedding-3.
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
1 in view
text-embedding-ada-002Current
Use when the workload needs embedding and 8k context.
2022-12embedding8k context
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| text-embedding-ada-002 | Use when the workload needs embedding and 8k context. | 2022-12 | embedding8k context | Current |
Release Timeline
1 release group2022-12
1 current
text-embedding-ada-002
Currentembedding8k context
Specifications(1 models)
| Model | Released | Context |
|---|---|---|
| text-embedding-ada-002 | 2022-12 | 8k |
Available From(1 provider)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| text-embedding-ada-002 | Vercel AI Gateway | $0.1 | — | Serverless |
Frequently Asked Questions
- What is text-embedding-ada used for?
- text-embedding-ada is used for embedding. The family description and listed model capabilities point to those workloads as the best fit.
- How does text-embedding-ada compare to GPT Realtime 2?
- text-embedding-ada 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-ada has 1 listed variant 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-ada model should I use?
- For the lowest listed input price, start with text-embedding-ada-002 through Vercel AI Gateway at $0.1/1M input tokens. For the most capable/latest local choice, evaluate text-embedding-ada-002 with 8k context.
