Inference
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Perplexity

Perplexity Decider v1 27B

Perplexity Decider v1 27B is a standard model from Perplexity in the Perplexity Decider family. It has no scored result.

  • Open weights
  • Standard
  • Input: text
  • Released 2026-10
No resultsEnough results for an index.
IndexAll categories, out of 100.UnrankedMedian 51.0
CoverageIndex weight that has results.0%
SpeedOutput tokens per second.—Median 67/s
First tokenSeconds to the first output token.—Median 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.02Median $0.60
Output / 1MUS dollars per 1M output tokens.—Median $2.55
ContextMaximum tokens in one request.262KMedian 262K
EloLMArena rating and rank.—Median 1422

Capabilities

Index per category, out of 100.
Out of 100
AgenticMulti-step tasks with tools.None counted——
CodingCode writing and repair.None counted——
ReasoningLogic problems and puzzles.None counted——
MultimodalTasks with images and text.None counted——
KnowledgeFacts and expert knowledge.None counted——
MultilingualTasks in many languages.None counted——
InstructionTasks with strict prompt rules.None counted——
MathMath problems.None counted——

Results

0 counted
This model has no scored result.

Sources

BenchLMCC BY-NC 4.0

Questions

How much does Perplexity Decider v1 27B cost?
$0.02 per 1M input tokens.
What is the context window of Perplexity Decider v1 27B?
262K tokens.
Is Perplexity Decider v1 27B open source?
Yes. Its weights are published.
When was Perplexity Decider v1 27B released?
October 2026.

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