text-embedding-3-small
- 0.02/M Input Tokens
- 0 Output Tokens
text-embedding-3-small is OpenAI’s cost-effective text embedding model, serving as the lightweight version in the text-embedding-3 series. This model maintains good performance while offering a more economical pricing option.
Key Features
- Cost-Effective: Approximately 1/6 the price of text-embedding-3-large
- Multilingual Support: Supports embeddings for 100+ languages
- Context Length: Handles up to 8192 tokens of input
- Embedding Dimension: Fixed 1536-dimensional embedding vectors
Performance
- Outperforms the older text-embedding-ada-002 on most tasks
- Slightly lower performance than text-embedding-3-large, but sufficient for most applications
Use Cases
- Text Similarity Matching
- Information Retrieval
- Text Classification
- Small-scale RAG Applications
- Personal Projects or Budget-conscious Commercial Applications
Pricing
- Input: $0.00002 / 1K tokens
- Output: Free
Usage Recommendations
- Ideal for projects with limited budgets requiring quality embeddings
- Recommended for testing and development
- Consider upgrading to text-embedding-3-large if highest embedding quality is required
text-embedding-3-small offers an excellent balance between performance and cost, making it particularly suitable for startups and budget-sensitive applications.