Perplexity's Decider v1.3 is a 27-billion-parameter, Apache 2.0, open-weight decision model. You ask a fixed set of questions on a single input; it returns a probability per answer. No text generation, no prompt wrangling.
Decider reads text or images, takes a set of questions, returns a probability per option. Yes/No, multiple choice, and scored levels. Same API shape as any OpenAI-shaped endpoint on Fikra.
Response shape: one probability per option per question. Threshold anything below your floor.
Decider is on the pilot roadmap. Send a note to [email protected] with the workload you want to test and we will route you.
Yes. Available to paid accounts. Ask on [email protected] if you want to try it before the catalogue opens.
Flash is a smaller distilled model for high-volume classification. Use v1.3 for nuance-critical decisions.
1M+ tokens. Same class of context as the mainstream chat models, but the decision request lives inside it.
Yes. Apache 2.0; weights on Hugging Face. You can run it entirely in your own infrastructure.
Related: Gemini Decisions API guide · All decisions models · Microsoft-Decision-1