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Perplexity: Sonar Deep Research

Descrizione della fonte (inglese)

Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...

Vedi la fonte su OpenRouter
Panoramica

Specifiche del modello

Contesto
128.000 tokens
Output massimo
115.200 tokens
Architettura
text->text
Tokenizer
Other
Limite di conoscenza
Non indicato
Moderato
No
OPENROUTER

Prezzi completi

Tariffe sincronizzate da OpenRouter, per milione di token.

Input
$2
per milione di token
Output
$8
per milione di token
Ricerca web
$5
per 1.000 chiamate
API

Configurazione del modello

Ragionamento

Ragionamento obbligatorio
No
Parametri predefiniti
No
API

Avvio rapido

Imposta OPENROUTER_API_KEY localmente. Python richiede requests; JavaScript viene eseguito in Node.js. Conserva la chiave sul server.

Documentazione API

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/sonar-deep-research","messages":[{"role":"user","content":"Hello!"}]}'
Capacità e modalità

Input → Output

Input
text
Output
text
Ragionamento

No

API

Parametri API supportati

frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningtemperaturetop_ktop_pweb_search_options
Provider disponibili

1 Provider

Verificato: 7 settembre 2026

Provider live su OpenRouter

Disponibilità, latenza, throughput e routing cambiano continuamente. Consulta la fonte per i dati correnti.

OpenRouter

Perplexity

Non indicato
Contesto
128K
Output massimo
115K
Input
$2
Output
$8
Lettura cache
Non indicato
Scrittura cache
Non indicato
perplexity

4 modelli

Tutti i modelli
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...

Contesto
32K
Input
text
Output
embeddings
Input: $0.03per milione di token
Vedi i dettagli del modello →
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...

Contesto
32K
Input
text
Output
embeddings
Input: $0.004per milione di token
Vedi i dettagli del modello →
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...

Contesto
200K
Input
text · image
Output
text
Input: $3Output: $15per milione di token
Vedi i dettagli del modello →
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...

Contesto
128K
Input
text · image
Output
text
Input: $2Output: $8per milione di token
Vedi i dettagli del modello →