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Voyage AI - API - verified

Voyage 3.5 Lite embeddings

Voyage 3.5 Lite is a legacy embedding model from Voyage AI, called by API as voyage-3.5-lite. It returns 1,024-dimension vectors by default and accepts up to 32,000 input tokens, for text input. The first-party list price is $0.02 per 1M input tokens.

LegacyModel id: voyage-3.5-lite

Default dims
1,024
Max input
32,000 tok
Price / 1M
$0.02
Inputs
Text

Dimensions

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

Default output: 1,024 dimensions.

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

Voyage AI 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
$0.02
Batch, per 1M
Not stated

Older-model pricing with no free tokens.

Source: docs.voyageai.com/docs/pricing

Usage

The sources read for this directory publish no copyable snippet for Voyage 3.5 Lite. Call it with the model id voyage-3.5-lite as shown in the provider docs linked under Sources.

Worth knowing

Listed under older models still accessible from the API; Voyage recommends the 4 series.

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

FAQ

How many dimensions does Voyage 3.5 Lite output?

Default output: 1,024 dimensions. Listed sizes: 2,048, 1,024, 512 and 256. Voyage AI 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 Voyage 3.5 Lite?

32,000 tokens per input, per Voyage AI's documentation. Longer text has to be chunked before you embed it.

How much does Voyage 3.5 Lite cost?

The first-party list price is $0.02 per 1M input tokens. Older-model pricing with no free tokens. Source: https://docs.voyageai.com/docs/pricing.

What can Voyage 3.5 Lite embed?

Text input, per the provider.

Should I still use Voyage 3.5 Lite?

Voyage AI lists Voyage 3.5 Lite as an older model. Existing indexes keep working while it is served, but vectors from different models cannot be mixed, so moving to a newer model means re-embedding your corpus.

Sources

Last verified from the pages below.

More Voyage AI embedding models

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

All embedding models

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