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- Gemini Embedding 2GoogleRemove
| Attribute | Gemini Embedding 2gemini-embedding-2-preview |
|---|---|
| Pricing | |
| Input | $0.60 / 1M |
| Output | $2.40 / 1M |
| Cache Write (5m) | $0.60 / 1M |
| Cache Write (1h) | $0.60 / 1M |
| Cache Read | $0.60 / 1M |
| Context | |
| Max context | 8.2K |
| Max output | N/A |
| Capabilities | |
| Vision | Yes |
| Function Calling | Yes |
| JSON Mode | No |
| Streaming | No |
| Catalogue | |
| Provider | |
| Category | embedding |
| Charge type | Pay As You Go |
| Released | — |
| Description | |
| Summary | Gemini Embedding 2 is Google's advanced text embedding model designed for high-accuracy semantic representation across large-scale retrieval and understanding tasks. It converts text into dense vector embeddings optimized for semantic search, retrieval-augmented generation (RAG), clustering, classification, and recommendation systems. Built for production use, it offers strong multilingual support, improved semantic similarity accuracy, and efficient embedding generation, making it well suited for large knowledge indexing pipelines and enterprise-scale retrieval applications. |