embed-english-light-v3.0-image
cohere
This lightweight multimodal embedding model excels at converting images and text into comparable vector representations for retrieval and similarity tasks, making it ideal for developers and organizations seeking efficient image-text search, clustering, and classification with lower computational requirements.
- Context window
- — tokens
- Input cost
- —
- Output cost
- —
- Latency (p50)
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