OpenAI: Text Embedding 3 Small

text-embedding-3-small is OpenAI's improved, more performant version of the ada embedding model. Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces of text. Embeddings are useful for search, clustering, recommendations, anomaly detection, and classification tasks.

• Context window: 8,192 tokens
• Input: text
• Output: embeddings
• Pricing: $0.02/M input tokens

View on OpenRouter. Model data sourced from OpenRouter.