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| Comparison | Text Embedding 3 Largetext-embedding-3-large | Choose model 2 |
|---|---|---|
| Type | Embedding | — |
| Best for | Semantic search, RAG and clustering | — |
| TokenRex price | $0.13 per 1M tokens | — |
| Cached input / 1M tokens | No separate cached rate listed | — |
| Cache write / 1M tokens | Not applicable | — |
| Cached output | Not offered · standard output rate applies | — |
| Market price | $0.13 per 1M tokens | — |
| Input token limit (provider) | Within the context window | — |
| Vendor input modalities | Text | — |
| Vendor output modalities | Embeddings | — |
| TokenRex endpoints | POST /v1/embeddings | — |
| Benchmarks | ||
| Benchmark evidence | 2 source-linked results | — |
| MTEB (English) | 64.6% Official January 2024 launch average score, full-dimension model, not an independent TokenRex evaluation. OpenAI · New embedding models | — |
| MIRACL | 54.9% Official January 2024 launch average score, full-dimension model, not an independent TokenRex evaluation. OpenAI · New embedding models | — |
No overall score, winner or cost-versus-score frontier is calculated without comparable, attributable benchmark evidence. Different test configurations appear separately. Vendor capabilities are distinct from TokenRex API support.
— means no published value or no matching capability. Provider token limits are not tested gateway guarantees; TokenRex media controls and response formats are listed separately.
Text Embedding 3 Large
Sources and verification
Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.
- Vendor model documentation
Vendor-reported
Last checked - OpenAI · New embedding models
Vendor-reported
Last checked
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