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text-embedding-3-large

text-embedding-3-large

  • 0.13/M Input Tokens
  • 0 Output Tokens

text-embedding-3-large is OpenAI’s latest text embedding model released in 2024. Compared to its predecessors, it offers several significant improvements:

Key Features

  • Enhanced Performance: Outperforms the previous text-embedding-ada-002 model on most tasks
  • Better Multilingual Support: Supports embeddings for 100+ languages
  • Longer Context: Handles up to 8192 tokens of input
  • Dimension Selection: Allows embedding dimensions between 256 and 3072

Use Cases

  1. Semantic Search
  2. Text Classification
  3. Recommendation Systems
  4. Similarity Matching
  5. RAG (Retrieval Augmented Generation) Applications

Pricing

  • Input: $0.00013 / 1K tokens
  • Output: Free

Usage Recommendations

  • Recommended for production environments requiring high-quality embeddings
  • Consider text-embedding-3-small for cost-sensitive applications
  • Choose embedding dimensions based on your specific needs to balance performance and efficiency

text-embedding-3-large is one of the most powerful text embedding models available today, particularly suitable for applications requiring high-quality text representations.

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