Text Embedding Ada 002
Embedding model by OpenAI.
Legacy OpenAI embedding model generating 1536-dimensional embeddings across an 8192-token context window for similarity matching and classification.
Specifications
Context window, ranked against other embedding models
Proportional scale: 0 to 8.2K tokens. Not ranked, no published context window: text-embedding-3-large.
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embedding
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-costheader, so you can reconcile spend per request.
More from OpenAI
FAQs
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 GPT-OSS 120B 1 (nrouter.ai/models/gpt-oss-120b-1), GPT-6.1 Sol (nrouter.ai/models/gpt-6.1-sol), GPT-5.2 Pro (nrouter.ai/models/gpt-5.2-pro-2025-12-11), GPT Audio 1.5 (nrouter.ai/models/gpt-audio-1.5).