OpenAI: Text Embedding 3 Large

text-embedding-3-large is OpenAI's most capable embedding model for both english and non-english tasks. 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: $0.13/M input tokens

View on OpenRouter. Model data sourced from OpenRouter.