AI model comparison
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Pick up to four models and compare the trade-offs that matter: context, price, API access, weights, inputs, outputs, and use cases.
| Attribute | Amazon Nova Multimodal Embeddings Amazon Web Services |
|---|---|
| Summary | An AWS embedding model that places text, images, audio, video, and documents into a shared vector space. |
| Best for | Multimodal search, media libraries, RAG, recommendations |
| Watch out for | Requires AWS and a vector index; application quality depends on domain evaluation. |
| Family | Nova 2 |
| Type | Embedding |
| Status | GA |
| Released | 2025-12-02 |
| Context window | Not listed |
| Max output | Not listed |
| Inputs | Text, image, audio, video, documents |
| Outputs | Embedding vector |
| Reasoning | Not applicable |
| Tool calling | No |
| Structured output | Embedding vector |
| API available | Yes — Amazon Bedrock |
| Open weights | No |
| Self-hostable | No |
| License | Proprietary |
| Price | See provider pricing |