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pplx-decider-v1-27b

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Perplexity's open-weight decision model that picks among given options for routing and checks in AI systems

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TrustList summary

pplx-decider-v1-27b is an open-weight decision model that Perplexity posted to Hugging Face on 1 October 2026. Its licence is Apache 2.0. It builds on the Qwen3.8-27B base model through fine-tuning and is aimed at AI systems that need a constrained answer rather than free text.

What pplx-decider-v1-27b offers

  • Option selection: classifies text and picks one of the options supplied with the prompt, instead of writing open-ended text.
  • Routing and gating: for sending requests down the right path, checking outputs and controlling actions inside agent systems.
  • Context: a context of 262,144 tokens.
  • Benchmarks: Perplexity reports higher overall accuracy across eleven benchmarks, measured through its own API.

Who it works with

It fits teams building AI systems that route requests or check outputs. It joins several decision models released in early October, including the Clef models and Strands Decider 2B.

Key facts

  • Published: 1 October 2026
  • Licence: Apache 2.0
  • Base model: Qwen3.8-27B, fine-tuned
  • Context: 262,144 tokens

Summary written by TrustList from the business's own published information, Oct 2026.

Benchmarks & AI stats

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Categories & features

Trust Score

4/ 100
Trust Score: New

An earned signal from verification, reviews, awards, transparency and engagement - the vendor can't buy it.

Verification
0/100 · 20%
Reviews
0/100 · 30%
Awards
0/100 · 15%
Transparency
18/100 · 20%
Engagement
0/100 · 15%
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Updated 10/5/2026

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