Sold by: CohereÂ
AWS Free Tier
Embed 4 transforms multiple modalities, such as texts and images, into numerical vectors.
Overview
Embed 4 is a multilingual multimodal embedding model. It is capable of transforming different modalities such as images, texts, and interleaved images and texts into a single vector representation. Embed 4 offers state-of-the-art performance across all modalities (texts, images, interleaved texts and image) and in both English and multilingual settings.
Embed 4 offers a variety of ways for compression both on the number of dimensions and the number-format precision. The model offers byte and binary quantization and matryoshka embeddings for further compression.
Highlights
- Embed 4 offers State-of-the-art performance in Text-to-Text, Text-to-Image, and Text-to-Mixed Modality domains across 100+ languages.
- Embed 4 is capable of vectorizing interleaved texts and images and capturing key visual features from screenshots of PDFs, slides, tables, figures, and more, thereby eliminating the need for complex document parsing.
- Embed 4 supports a 128k context length and an images can have a maximum of 2MM pixels.
Details
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Price per 1 million input tokens | $0.12 |
Price per 1 million input tokens | $0.12 |
Price per 1 million input tokens | $0.12 |
Price per 1 million input tokens | $0.12 |
Price per 1 million input tokens | $0.12 |
Price per 1 million input tokens | $0.12 |
Price per 1 million input tokens | $0.12 |
Price per 1 million input tokens | $0.12 |
Price per 1 million input tokens | $0.12 |
Price per 1 million input tokens | $0.12 |
Vendor refund policy
Cohere does not provide any refunds.
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Delivery details
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