Models Model details

Perplexity

Perplexity: Embed V1 0.6B

perplexity/pplx-embed-v1-0.6b

pplx-embed-v1-0.6B is one of Perplexity's state-of-the-art text embedding models built for real-world, web-scale retrieval. pplx-embed-v1 is optimized for standard dense text retrieval with the 0.6B parameter model targeting lightweight, low-latency embedding generation.

Input
$0.004

/ 1M tokens · Token reference

Output
$0

/ 1M tokens · Token reference

Context window
32K

tokens

Embeddings output · Token reference fields do not establish an output-unit price.

Limits

Context

32,000

tokens

Max output

28,800

90% of the context window

Model facts

Author

Perplexity

Tokenizer

Other

Modality

Text -> Embeddings

Created

Mar 16, 2026

Publication status

Hugging Face: unavailableLicense: not publishedParameter count: not published

Modalities

Input · TextOutput · Embeddings