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- Gemini Embedding 001GoogleRemove
| Attribute | Gemini Embedding 001gemini-embedding-001 |
|---|---|
| Pricing | |
| Input | $0.075 / 1M |
| Output | $0.30 / 1M |
| Cache Write (5m) | $0.075 / 1M |
| Cache Write (1h) | $0.075 / 1M |
| Cache Read | $0.075 / 1M |
| Context | |
| Max context | 128K |
| Max output | N/A |
| Capabilities | |
| Vision | No |
| Function Calling | No |
| JSON Mode | No |
| Streaming | Yes |
| Catalogue | |
| Provider | |
| Category | embedding |
| Charge type | Pay As You Go |
| Released | — |
| Description | |
| Summary | Gemini-Embedding-001 is Google's high-quality text embedding model designed for semantic understanding and retrieval tasks. It converts text into dense vector representations optimized for semantic search, retrieval-augmented generation (RAG), clustering, classification, and recommendation systems. The model emphasizes strong multilingual performance, high semantic accuracy, and efficient embedding generation, making it well suited for large-scale knowledge indexing and production retrieval pipelines. |