- Provider
- OpenAI
- Context window
- 8K ctx
- Max output
- -
- Input price
- $0.13 / 1M tokens
- Output price
- -
- License
- Proprietary
- Open weights
- No
text-embedding-3-large is OpenAI’s premium text embedding model, optimized for converting text into numerical representations suitable for machine learning applications. It excels in tasks requiring deep semantic understanding, such as search and content organization, where accuracy and nuanced representation are critical.
The model fits within OpenAI’s lineup as their most advanced embedding option, positioned above smaller or more specialized alternatives. Its large context window allows it to handle substantial documents without truncation, a key differentiator for processing complex texts.
Developers building enterprise-grade search systems or retrieval pipelines should consider this model, particularly if they prioritize performance and have budget for proprietary solutions. Those requiring open-weight models or transparent pricing structures may need to evaluate alternatives.
Modality
Use cases
Pros & cons
Pros
- High-quality embeddings optimized for search and retrieval tasks
- Supports a context window of 8191 tokens, enabling processing of longer documents
- Proven integration with OpenAI's ecosystem and tools
Cons
- Proprietary license restricts modification or redistribution
- No open-weight availability limits transparency and customization
- Input pricing may be prohibitive for high-volume use cases
- Output capabilities and pricing are not specified here
Related models
Read the official docs
text-embedding-3-large