Embed v1 4b pricing.

Prices checked

Embed v1 4b costs $0.03 per million input tokens from Perplexity; the cheapest price is $0.03 at Perplexity, checked .

Perplexity's own price

Perplexity

$0.03/M tokens

per million input tokens

70% below the typical price of the 14 embedding models we track.

Cheapest price

Perplexity

$0.03/M tokens

per million input tokens

Nobody sells it for less than Perplexity with a reason we can point at.

embeddings32k contextreleased 26 Feb 2026

Every provider selling Embed v1 4b

  1. 1

    Perplexity

    Maker's price

    33k context here

    $0.03/M tokens
  2. 2

    Nous Portal

    Same as maker

    per million input tokens

    $0.03/M tokens
How we count

Prices are per million input tokens; an embedding model writes no output, so there is no blend. A price below Perplexity's own is listed as cheapest only when the provider says why.

Maker's price
What the lab that trained the model charges on its own API. Every other row is measured against it.
Same as maker
Sold by someone else at the price the maker charges.

Similar models

Embedding models from other labs, nearest in price first. Each percentage is against Embed v1 4b's cheapest price, $0.03 per million input tokens.

Frequently asked

Who sells Embed v1 4b cheapest?
Perplexity, at $0.03 per million input tokens, checked 21 Oct 2026. What the lab that trained the model charges on its own API. Every other row is measured against it.
Why is Embed v1 4b priced on input alone?
An embedding model reads text and returns a vector, so there are no output tokens to bill. The price is per million tokens sent, which is why it is never compared with a chat model's blended price.
Is Embed v1 4b open weights?
No. Perplexity keeps the weights, so every price on this page is Perplexity's own or a resale of it.
How does Embed v1 4b compare with other embedding models?
At $0.03 per million input tokens, Perplexity's own price is 70% below the typical $0.10 across the 14 embedding models we track.

More from Perplexity

See also