AI TOOLS RADAR
All models / PERPLEXITY
perplexity logo
perplexity

Perplexity: Decider V1.1 27B

Source description (English)

Decider V1.1 27B is a new checkpoint of Perplexity's decision model, succeeding Decider V1 27B with the same API contract. Instead of generating text, it reads content passed as state...

View source on OpenRouter
Overview

Model specifications

Context
262,144 tokens
Maximum output
235,929 tokens
Architecture
text+image->decisions
Tokenizer
Other
Knowledge cutoff
Not provided
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.02
per 1M tokens
Output
Free
per 1M tokens
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"perplexity/pplx-decider-v1.1-27b","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

Input → Output

Input
textimage
Output
decisions
API

Supported API parameters

Available providers

1 Provider

Checked: October 7, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

Perplexity

Not provided
Context
262K
Maximum output
236K
perplexity

4 models

All models
perplexity logoperplexity

Perplexity: Embed V1 4B

pplx-embed-v1 -4B is one of Perplexity's state-of-the-art text embedding models built for real-world, web-scale retrieval. pplx-embed-v1 is optimized for standard dense text retrieval with the 4B parameter model maximizing retrieval...

Context
32K
Input
text
Output
embeddings
Input: $0.03per 1M tokens
View model details →
perplexity logoperplexity

Perplexity: Embed V1 0.6B

pplx-embed-v1-0.6B is one of Perplexity's state-of-the-art text embedding models built for real-world, web-scale retrieval. pplx-embed-v1 is optimized for standard dense text retrieval with the 0.6B parameter model targeting lightweight, low-latency...

Context
32K
Input
text
Output
embeddings
Input: $0.004per 1M tokens
View model details →
perplexity logoperplexity

Perplexity: Sonar Pro Search

Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis. Pricing is based...

Context
200K
Input
text · image
Output
text
Input: $3Output: $15per 1M tokens
View model details →
perplexity logoperplexity

Perplexity: Sonar Reasoning Pro

Note: Sonar Pro pricing includes Perplexity search pricing. See details here Sonar Reasoning Pro is a premier reasoning model powered by DeepSeek R1 with Chain of Thought (CoT). Designed for...

Context
128K
Input
text · image
Output
text
Input: $2Output: $8per 1M tokens
View model details →