Perplexity Developers

We're rolling out pplx-decider-v1.3 and pplx-decider-flash-v1.3, the latest version of our open-weight decision models.

v1.3 adds locate, a new feature that extracts spans based on type or instructions.

Now available in our Decisions API, @huggingface, and @OpenRouter.

perplexity.ai/hub/blog/perpl…

Every Agent API effort level now costs less with the same or higher research quality.

Effort levels are bundled agent configurations, optimized for specific tasks.

A new ultra level is available for the most demanding, long-running requests.

pplx.ai/effort-levels

The Decisions API can now search the web before it answers.

A decision model returns a probability, but only knows what it saw in training, and your state. Add "mode": "web_grounding" and Fast Search runs one query per question, so pplx-decider-v1.2 answers from today's web.

Introducing pplx-embed-v2-context: open-weight vision-language embedding models in 9B and 0.6B.

Both return one int8 vector per document, or one per chunk that sees the whole document.

Read the paper, written with @turbopuffer: arxiv.org/abs/2610.38854

You can now run pplx-decider-flash-v1.2 locally on your Mac, without an API key.

Decider for Mac is an app that runs the 4B decision model on device. Ask a question about text or an image and get a probability back, all on your machine.

pplx.ai/decider-for-mac