Modelsslug: decider-v1-3

Decider v1.3

Perplexity open-weight decision model returning exact text spans with character offsets and classification probabilities.

Curated Intelligence

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Marktechpost (@Marktechpost)T2·Models
71 pts
Perplexity Open-Sources Decider v1.3 Decision Models with Span Extraction

Perplexity released Decider v1.3 and Decider Flash v1.3, open-weight decision models that upgrade from label-only classification to returning exact text spans with start and end character offsets via a Locate capability. Across 17 out-of-domain NER, PII and extractive QA tasks, v1.3 averages 69.0 and Flash 63.6, versus 43.3 for Liquid d1 and 33.6 for GLiNER large v2.5; query classification reaches 91.6% over 63 tasks with a 0.27% answer-flip rate. Built on Qwen3.8-27B and Qwen3.5-4B under Apache 2.0, with API input pricing at $0.02 and $0.01 per 1M tokens.