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Embed 5 Fast embeddings

Embed 5 Fast is a current embedding model from Cohere, called by API as embed-v5.0-fast. It returns 2,048-dimension vectors by default and accepts up to 128,000 input tokens, for text, image and PDF input. The first-party list price is $0.08 per 1M input tokens.

CurrentModel id: embed-v5.0-fast

Default dims
2,048
Max input
128,000 tok
Price / 1M
$0.08
Inputs
Text, Image, PDF

Dimensions

Flexible output size
  • 2,048default
  • 1,536
  • 1,024
  • 768
  • 512
  • 256

Default output: 2,048 dimensions.

Listed sizes: 2,048, 1,536, 1,024, 768, 512 and 256.

Cohere documents shorter output vectors for this model (Matryoshka-style), so you can store smaller embeddings by asking for fewer dimensions instead of re-embedding with another model.

Pricing

Per 1M input tokens
$0.08
Batch, per 1M
Not stated

Listed under Advanced retrieval models per 1M tokens; dedicated Model Vault instances start at $3.00 per hour.

Source: cohere.com/pricing

Usage

Copied verbatim from the page linked below. Placeholders such as project ids and API keys are the source's own.

Python
import cohere

co = cohere.ClientV2()

text_inputs = [
    {
        "content": [
            {"type": "text", "text": "hello"},
            {"type": "text", "text": "goodbye"}
        ]
    },
]

response = co.embed(
    inputs=text_inputs,
    model="embed-v5.0-fast",
    input_type="search_document",
    embedding_types=["float"],
)
print(response)

Source: docs.cohere.com/reference/embed

Worth knowing

Lighter, lower-latency version of Embed 5 Pro for interactive search and high-volume query traffic, sharing Pro's embedding space.

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

FAQ

How many dimensions does Embed 5 Fast output?

Default output: 2,048 dimensions. Listed sizes: 2,048, 1,536, 1,024, 768, 512 and 256. Cohere documents shorter output vectors for this model (Matryoshka-style), so you can store smaller embeddings by asking for fewer dimensions instead of re-embedding with another model.

What is the max input length of Embed 5 Fast?

128,000 tokens per input, per Cohere's documentation. Longer text has to be chunked before you embed it.

How much does Embed 5 Fast cost?

The first-party list price is $0.08 per 1M input tokens. Listed under Advanced retrieval models per 1M tokens; dedicated Model Vault instances start at $3.00 per hour. Source: https://cohere.com/pricing.

What can Embed 5 Fast embed?

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

Sources

Last verified from the pages below.

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

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