AI model comparison
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Compare AI models side by side.
Pick up to four models and compare the trade-offs that matter: context, price, API access, weights, inputs, outputs, and use cases.
| Attribute | text-embedding-3-large OpenAI |
|---|---|
| Summary | OpenAI’s higher-quality embedding model for semantic search, recommendations, and retrieval. |
| Best for | High-quality semantic search, RAG, clustering, multilingual retrieval |
| Watch out for | More expensive and larger vectors than the small version; text-only. |
| Family | Embedding 3 |
| Type | Embedding |
| Status | GA |
| Released | 2024-01-25 |
| Context window | 8.2K |
| Max output | Not listed |
| Inputs | Text |
| Outputs | Embedding vector |
| Reasoning | No / not emphasized |
| Tool calling | No / not documented |
| Structured output | No / not documented |
| API available | Yes |
| Open weights | No |
| Self-hostable | No |
| License | Proprietary |
| Price | $0.13 per 1M input tokens |