Text Embedding 3 Large
Text Embedding 3 Large is OpenAI's most capable text embedding model, producing 3072-dimensional vectors that capture rich semantic meaning. It delivers state-of-the-art performance on retrieval benchmarks, making it the go-to choice for applications where embedding quality directly impacts user experience.
The model supports flexible dimensionality — you can truncate embeddings to smaller dimensions (e.g., 1536, 768, 256) with graceful quality degradation, allowing teams to tune the cost-quality tradeoff for their specific use case.
Key Features
3072-dimensional embeddings with state-of-the-art quality
Flexible dimensionality with Matryoshka representations
8191 token input limit per text
Superior retrieval and classification performance
Multilingual embedding support
Ideal Use Cases
High-quality semantic search engines
Enterprise RAG pipelines requiring top accuracy
Fine-grained text classification and clustering
Cross-lingual information retrieval
Example Prompts for Text Embedding 3 Large
Technical Specifications
| Dimensions | 3072 (flexible) |
| Max Input | 8191 tokens |
| Modality | Text → Embedding |
| Provider | OpenAI |
| Category | Embedding |
| Multilingual | Yes |
Frequently Asked Questions
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