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Perplexity released Decider v1.3 and Decider Flash v1.3, the follow-ups to its earlier decision models. Instead of writing text, they return probabilities. They answer yes/no, multiple-choice, and score questions about a text or image input, which makes them a good fit for routing, classification, and checks inside agents. The new Locate feature returns exact text spans with start and end character offsets and confidence scores. It works on text only, with up to 128 Locate questions per request. The model card says v1.3 is built on Qwen3.8-27B and needs about 49 GiB of BF16 weights. Flash is distilled from it. Perplexity says both are on Hugging Face under an Apache license, through OpenRouter, and in the Perplexity Decisions API. But the Hugging Face model cards currently say the repositories are private and need an access token. MarkTechPost reports API pricing of $0.02 (v1.3) and $0.01 (Flash) per 1M input tokens, with output free. Source: Perplexity blog.
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