Map / Core AI / Foundation Models / Perplexity Decider

Perplexity Decider
Open-weight decision models that return probabilities instead of text
CuratedDecision ModelsMac
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Perplexity's decision models, called through its Decisions API (POST /v1/decisions) or run from open Apache-2.0 weights on Hugging Face. You pass content as a state plus typed questions (yes/no, multiple choice, rubric score) and get probabilities back, not prose. It reads text and images. The 27B model is fine-tuned from Qwen3.8-27B, and a 4B Flash model runs on Macs through the Decider for Mac app.
Versions
| Version | Released | After previous | Status | Comes as | Source |
|---|---|---|---|---|---|
| Decider V1.2 | 16 Oct 2026 | 10 days | Latest | 27B4BFlash | x.com |
| Decider V1.1 | 6 Oct 2026 | 5 days | 27B | community.perplexity.ai | |
| Decider V1 | 1 Oct 2026 | First | 27B | x.com |
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