text-embedding-3-large
by OpenAI · paid · Last verified 2026-03-17
OpenAI's most capable text embedding model producing 3072-dimensional vectors with support for Matryoshka representation learning. Offers superior retrieval accuracy over ada-002 with flexible dimensionality reduction for cost-performance trade-offs.
https://openai.com ↗B+
B+—Good
Adoption: AQuality: AFreshness: B+Citations: AEngagement: F
Specifications
- License
- Proprietary
- Pricing
- paid
- Capabilities
- text-embedding, semantic-search, dimensionality-reduction, clustering, classification
- Integrations
- pinecone, weaviate, chroma, langchain, llama-index
- Use Cases
- semantic-search, rag-retrieval, document-clustering, recommendation-systems, anomaly-detection
- API Available
- Yes
- Parameters
- Undisclosed
- Context Window
- 8191 tokens
- Modalities
- text-to-embedding
- Training Cutoff
- N/A
- Tags
- embeddings, vector-search, retrieval, semantic-search, rag
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
73.3Adoption
88
Quality
88
Freshness
72
Citations
82
Engagement
0