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
Technical Specifications
| Dimensions | 3072 (flexible) |
| Max Input | 8191 tokens |
| Modality | Text → Embedding |
| Provider | OpenAI |
| Category | Embedding |
| Multilingual | Yes |
API Usage
1 curl -X POST https://api.vincony.com/v1/chat/completions \ 2 -H "Authorization: Bearer YOUR_API_KEY" \ 3 -H "Content-Type: application/json" \ 4 -d '{ 5 "model": "openai/text-embedding-3-large", 6 "messages": [ 7 { "role": "user", "content": "Hello, Text Embedding 3 Large!" } 8 ] 9 }'
Replace YOUR_API_KEY with your Vincony API key. OpenAI-compatible endpoint — works with any OpenAI SDK.
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