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Decider V1 27B

by PerplexityReleased 1 October 2026

Perplexity's 27B decision model, which reads a text or JSON state and answers up to 128 named questions in one request, each a yes or no, a choice or a rubric score, with a probability on every option

TakesTextImages
GivesClassification

About 260 pages per case

Questions about Decider V1 27B

  • Is Decider V1 27B still on sale?

    No. Perplexity has retired it. Other Perplexity models are on sale.

  • What is Decider V1 27B best for?

    Perplexity's 27B decision model, which reads a text or JSON state and answers up to 128 named questions in one request, each a yes or no, a choice or a rubric score, with a probability on every option.

  • Does Decider V1 27B work in Arabic, French or Darja?

    Perplexity names no languages for Decider V1 27B. Arabic, French and Darja: not stated.

  • What can it answer?

    Yes or no, one choice from your list, or a score on your scale. Each answer comes with its probability.

  • Who makes Decider V1 27B, and when was it released?

    Perplexity. Released 1 October 2026.

Other Perplexity models, priced in dinars

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Decider V1.2Perplexity · Oct 16, 2026

Decider V1.2 does not write text. You send content as text, a table of data or a picture, plus named questions of three kinds: yes or no, a choice among as many as 255 options, or a score on an ordered scale. It returns the probability of every answer, so your own system sets its thresholds for sorting, routing or moderation. It is the larger model of the pair and reads about 262 pages; Decider Flash V1.2 is the smaller, lower-cost version.

262 pages per call
≈0,0067 DAper case
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Embed V1 0.6BPerplexity · Mar 16, 2026

Embed V1 0.6B turns text of up to about 32 pages into a fingerprint of its meaning, a list of 1,024 numbers, so search finds text that means the same thing. It needs no special instruction before the text and is built for large-scale search over independent texts, search queries and single sentences. It is the small, quick model of the pair.

32 pages per call
≈0,0013 DAper page
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Embed V1 4BPerplexity · Mar 16, 2026

Embed V1 4B turns text of up to about 32 pages into a fingerprint of its meaning, a list of 2,560 numbers, so search finds text that means the same thing. It needs no special instruction before the text and is built for large-scale search over independent texts, search queries and single sentences. It is the larger model of the pair, tuned for the best result quality.

32 pages per call
≈0,010 DAper page
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Decider Flash V1.2Perplexity · Oct 16, 2026

Decider Flash V1.2 does not write text. You send content as text, a table of data or a picture, plus named questions: yes or no, a choice among as many as 255 options, or a score on an ordered scale. It returns a probability for every answer, so your own system sets its thresholds for sorting, routing or moderating high volumes.

262 pages per call
≈0,0033 DAper case
View model