OpenAI / openai/text-embedding-ada-002

text-embedding-ada-002 - access through LLMTR

text-embedding-ada-002 is OpenAI's embedding model for converting input text into a fixed 1536-dimensional numerical vector. The cosine similarity between two vectors measures how semantically close the underlying texts are, which is used for search, clustering, recommendation, and anomaly detection. It offers an 8,192-token context window, its output size is fixed, and it does not support shortening the vector with a `dimensions` parameter. It accepts text input only and produces no output beyond the vector.

Technical specifications

Canonical IDopenai/text-embedding-ada-002
ProviderOpenAI
Context window8,192 tokens
OperationsEMBEDDINGS
Modalitiestext, embedding

Pricing

An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.

OperationMetricUnitPrice
EMBEDDINGSINPUT_TEXTPER_1M_TOKENS$0.100000

Example usage

With existing OpenAI SDK flows, change only the base URL and model identifier.

curl https://llmtr.com/v1/chat/completions \
  -H "Authorization: Bearer llmtr-your_key" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/text-embedding-ada-002","messages":[{"role":"user","content":"Hello"}]}'

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