Models / Text Embedding Ada 002ID: openai/text-embedding-ada-002
embedding model by OpenAI

Text Embedding Ada 002

Legacy OpenAI embedding model generating 1536-dimensional embeddings across an 8192-token context window for similarity matching and classification.

Maker

OpenAI

Served On

OpenAI

Specifications

Context window, ranked against other embedding models

Insufficient data

No published context window for this model or its peers.

Context window

—

Max output

—

Modality

embedding

Vision
Function calling
System prompt

Pricing

Rates are read live

Pricing for text-embedding-ada-002 is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.

Availability

Not enough data yet

We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.

How Text Embedding Ada 002 is billed

Billed at the provider's list price, with no per-token markup.

Exact list price
Tokens settle at the published rate of the model that served your call.
Cache discounts passed through
Provider prompt-caching discounts reach your balance with no added fee.
Cost on every response
Each response carries the x-nr-request-cost header, so you can reconcile spend per request.

More from OpenAI

Frequently asked questions

What is Text Embedding Ada 002?

Legacy OpenAI embedding model generating 1536-dimensional embeddings across an 8192-token context window for similarity matching and classification.

How much does Text Embedding Ada 002 cost?

Text Embedding Ada 002 is billed at the provider's list price on nRouter with no per-token markup — tokens settle at the exact upstream rate. Input and output rates are read live, so see the pricing section above for the current figures.

Does Text Embedding Ada 002 support tool calling and structured outputs?

No. Text Embedding Ada 002 does not support tool calling, so it cannot invoke external tools or functions.

What inputs and outputs does Text Embedding Ada 002 support?

Text Embedding Ada 002 is an embedding model: it takes text as input and returns vector embeddings as output.

How do I use Text Embedding Ada 002 via nRouter?

Use any OpenAI-compatible client: point it at https://api.nrouter.ai/v1 with your nRouter API key and set the model to "openai/text-embedding-ada-002".

When was Text Embedding Ada 002 released?

Text Embedding Ada 002 was released on December 15, 2022.

Where is the Text Embedding Ada 002 documentation?

Start at nrouter.ai/docs. The quick-start guide (nrouter.ai/docs/getting-started/quick-start) covers API keys and your first request, and the API reference (nrouter.ai/docs/api-reference) lists every parameter.

What other embedding models does OpenAI have?

Other OpenAI embedding models on nRouter include Whisper 1 (nrouter.ai/models/whisper-1), o1 (nrouter.ai/models/o1), GPT-5.5 Pro (nrouter.ai/models/gpt-5.5-pro), GPT-4o Mini TTS (nrouter.ai/models/gpt-4o-mini-tts-2025-12-15).

Pricing is live — see above for current rates.