Perplexity: Embed V1 0.6B

perplexity/pplx-embed-v1-0.6b

Released Mar 16, 202632,000 context

$0.004/M input tokens$0/M output tokens

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.

Perplexity: Embed V1 0.6B

perplexity/pplx-embed-v1-0.6b

Released Mar 16, 202632,000 context

$0.004/M input tokens$0/M output tokens

Providers for Embed V1 0.6B

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Embed V1 0.6B

Compare different providers across OpenRouter

Effective Pricing for Embed V1 0.6B

Actual cost per million tokens across providers over the past hour

Apps using Embed V1 0.6B

Top public apps this month

Recent activity on Embed V1 0.6B

Total usage per day on OpenRouter

Prompt

Completion

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Embed V1 0.6B

Uptime stats for Embed V1 0.6B across all providers

Sample code and API for Embed V1 0.6B

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible embeddings API that you can call directly, or using the OpenAI SDK.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.