Parcae

A looped language model family that trades memory for quality under fixed FLOP budgets.

A family of looped, recurrent language models that reuses layers through a constrained recurrent dynamic, developed by Together AI and UCSD.

Pricing

Official site · Apr 16, 2026, 6:26 AM

Pricing notes were collected, but there are no normalized numeric fields to display yet.

No public numeric price for Parcae was found on Together AI’s official pricing or serverless model pages; treat as not publicly listed.

Together AI’s official Parcae blog post confirms the model exists, but the current public Together AI pricing page and serverless model pricing docs do not list a Parcae entry or any numeric rate. As of 2026-04-16, no public official pricing could be found for Parcae.

View source

Model Intelligence

Benchmarkable

Model level

family

Recent stories

1 linked story

newsPRIMARY2026-04-15

Parcae claims 1.3B Transformer quality from a 770M looped model

Together AI and UCSD released Parcae, a looped model that reuses layers with a constrained recurrent dynamic and reports stronger results than parameter-matched Transformers from 140M to 1.3B scales. The released models and code suggest recurrence can trade memory for quality under fixed FLOP budgets instead of scaling parameters alone.