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Jev vs Perplexity Decider: closed API or open weights?

Jev vs Perplexity's Decider models: open weights, price per million tokens, context size and benchmark claims, and what is confirmed or only reported. Dated 17 October 2026.

Updated By Jev Hub

[ TLDR ]
  • Perplexity's Decider models answer the same kinds of question as Jev, with probabilities and no text.
  • The weights are open and, per press coverage, licensed Apache 2.0, and Perplexity also sells a hosted Decisions API.
  • Its listed prices are lower than Jev's: OpenRouter's list shows $0.02 and $0.01 per million input tokens for the newest versions against Jev's $0.042.
  • Perplexity's benchmark lead over Jev comes from its own test, and the one independent index we found, from Artificial Analysis, scores Decider v1.1 below Jev (53.1 against 57.1 for Jev 1.14).
  • Pick Jev for the longer-available hosted service; look at Perplexity's Decider for lower prices or open weights.

Side by side

FeatureJev (TypeSafe AI)Perplexity Decider (Perplexity)
What it isA decision model: it answers typed questions about an input and returns probabilities. It cannot write text.Perplexity's Decider models and a hosted Decisions API that answer yes/no, multiple-choice and scored questions with probabilities (press coverage)
VersionsJev 1.14.0 as jev-latest, and 1.13.0v1 (1 October), v1.1 (6 October) per press coverage; Decider V1.2 and Decider Flash V1.2 listed on OpenRouter on 16 October
WeightsClosedOpen: press coverage reports Apache 2.0 weights, from a Qwen3.8-27B fine-tune
Input price (per million tokens)$0.042, output free (checked 14 October 2026)OpenRouter's list on 17 October: Decider V1.2 $0.02, Decider Flash V1.2 $0.01, output free. Launch price of v1 was reported as $0.04.
Context size64,000 tokens per request by default; 262,000 behind an experimental header262,000 tokens reported for the first version (press coverage)
Where you run itTypeSafe's API, Vercel AI Gateway, OpenRouter and LiteLLMPerplexity's Decisions API, OpenRouter, or on your own hardware from the open weights
Benchmarks (each company's own)TypeSafe's own workflow evals; independent tests exist for Jev 1.13Perplexity says its model leads on a private benchmark, and one report cites 85.71% against 84.51% for Jev. The methodology is not fully published.
Independent score (Artificial Analysis Decision Index, 18 October)57.5 (Jev 1.13) and 57.1 (Jev 1.14)53.1 (Decider v1.1 27B); the V1.2 versions were not listed

Perplexity figures come from OpenRouter's model list (read 17 October 2026) and press coverage; we have not read Perplexity's own documentation for the newer versions. The Jev column uses TypeSafe's documentation. Prices and limits can change.

The short answer

Perplexity's Decider models are the closest thing to a direct price rival: they answer the same kinds of question, they cost less per input token on OpenRouter's list, and the weights are open, so you can also run them yourself. Jev is closed, hosted by TypeSafe, and has been available since 15 September.

What we cannot say is which is more accurate. The numbers that favour Perplexity come from Perplexity's own benchmark; the one independent index we found scored Decider v1.1 below Jev.

INPUT PRICE PER MILLION TOKENSDecider Flash V1.2$0.010Decider V1.2$0.020Jev$0.042
Listed price per million input tokens. OpenRouter's model list on 17 October 2026 for Perplexity's newest versions, and TypeSafe's list price for Jev. Output is free for all of them. Perplexity's own pricing page was not read.

What do we know about the models?

Press coverage reports that Perplexity released pplx-decider-v1-27b on 1 October 2026 with open weights under the Apache 2.0 licence, built on Qwen3.8-27B, with a Decisions API that answers yes/no, multiple-choice and scored questions. Version 1.1 followed on 6 October at half the price.

On 16 October, OpenRouter's model list shows Decider V1.2 and Decider Flash V1.2, at $0.02 and $0.01 per million input tokens, both with free output. We have not read Perplexity's own documentation for these versions, so check it before you rely on a price or a limit.

What does Perplexity claim about quality?

Perplexity says its model scores highest on its own Decision Index benchmark, and one report cites 85.71% for the first version against 84.51% for Jev. These are the company's figures on a test whose method is not fully published, so they are a claim, not a result.

For Jev, independent tests used version 1.13 and showed results that swing with the task: close to the best models on narrow questions, behind on broad ones. Our benchmarks article collects them. Artificial Analysis's independent index is below.

What did an independent test find?

On Artificial Analysis's Decision Index (read 18 October), Perplexity's Decider v1.1 27B scored 53.1, against 57.5 for Jev 1.13 and 57.1 for Jev 1.14. The index is independent, runs four tests itself and is days old; it listed v1.1 and did not list the newer V1.2 versions.

So on that test Jev scored higher and Perplexity's model costs less. Which matters more depends on your task, and the index is not your data.

DECISION INDEX SCOREJev 1.1357.5Jev 1.1457.1Decider v1.1 27B53.1
An independent score, side by side. Artificial Analysis Decision Index v1.0, read on 18 October 2026. Four evaluations run by Artificial Analysis. The newer V1.2 versions were not listed.

Which should you pick?

Based on what is reported today:

  • Choose Jev if you want the hosted service that has been available longest, and its independent tests and documentation, with no machines to run.
  • Look at Perplexity's Decider if the lower listed price matters at your volume, or you want open weights you can run, tune and keep in house.
  • Test both before you commit. Run the same labelled sample through each and compare accuracy, speed and cost on your own numbers.

Keep reading

Common questions

Sources

Written by Jev Hub from the sources below and checked against them on . Where a figure is a company's own claim, the article says so.