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Cohere - API - verified

Embed Multilingual v3.0 embeddings

Embed Multilingual v3.0 is a current embedding model from Cohere, called by API as embed-multilingual-v3.0. It returns 1,024-dimension vectors by default and accepts up to 512 input tokens, for text and image input. No per-1M-token list price is stated for it. cohere.com/pricing shows no self-serve per-token rate for Embed v3 models today.

CurrentModel id: embed-multilingual-v3.0

Default dims
1,024
Max input
512 tok
Price / 1M
Not stated
Inputs
Text, Image

Dimensions

  • 1,024default

Default output: 1,024 dimensions.

Pricing

Per 1M input tokens
Not stated
Batch, per 1M
Not stated

cohere.com/pricing shows no self-serve per-token rate for Embed v3 models today.

Source: cohere.com/pricing

Usage

The sources read for this directory publish no copyable snippet for Embed Multilingual v3.0. Call it with the model id embed-multilingual-v3.0 as shown in the provider docs linked under Sources.

Worth knowing

Multilingual model covering over 100 languages per Cohere's supported-languages list, usable with both the Embed and Embed Jobs endpoints.

Release date not stated in the sources. Multilingual: yes.

FAQ

How many dimensions does Embed Multilingual v3.0 output?

Default output: 1,024 dimensions.

What is the max input length of Embed Multilingual v3.0?

512 tokens per input, per Cohere's documentation. Longer text has to be chunked before you embed it.

How much does Embed Multilingual v3.0 cost?

No per-1M-token list price is stated for it. cohere.com/pricing shows no self-serve per-token rate for Embed v3 models today. Source: https://cohere.com/pricing.

What can Embed Multilingual v3.0 embed?

Text and image input, per the provider. It is documented as multilingual.

Sources

Last verified from the pages below.

More Cohere embedding models

Default dimensions, max input tokens and list price per 1M tokens.

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