CupAI logo

← Back to all models

Perplexity logo

Sonar

⁦Perplexity⁩ · ⁦sonar⁩

Fast web-grounded Sonar for current answers, citations, and lightweight retrieval

⁦128K⁩ tokensText → TextInput/output type

Starting price

0

per million tokens

Billing

Pay as you go

Service status

Active

Released

2024

About Sonar

Fast web-grounded Sonar for current answers, citations, and lightweight retrieval

Sonar pricing

Input

0

Output

0

Cache (read)

0

Cache (write)

0

same as input

Model id

sonar

Provider

Perplexity

Context window

128K

Max output tokens

4,096

Inputs

Text

Outputs

Text

Status

Active

Released

2024

Share model

https://cupai.ir/en/models/sonar

Sample code and API for Sonar

Point the base URL at CupAI and use your own API key; the rest of the request stays exactly as it is in any compatible client.

curl 'https://api.cupai.ir/v1/chat/completions' \
  -H 'Content-Type: application/json' \
  -H 'Authorization: Bearer $CUPAI_API_KEY' \
  -d '{
    "model": "sonar",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }'

Replace CUPAI_API_KEY with your own key.

Create an API key

Capabilities

Capabilities supported by this model's API.

text-to-text

Frequently asked questions about Sonar

How is usage of Sonar billed?
By the input and output tokens of each request. The rate for each part is in the pricing table on this page, and the amount is deducted from your wallet.
How do I connect to Sonar?
Point the base URL at CupAI, put your API key in the request header, and send the model id in the request body. Ready-made samples are on this page.
How do payments work?
Payments are in Toman and need no foreign credit card. Credit you buy can be spent on any available model.

Other models

How model pricing works

Every AI model strikes a different balance between speed, answer quality and cost. Flagship models suit complex reasoning, long-document analysis and precise code generation, while lighter models cost considerably less for summarising, classification and short answers. The list above shows each model's rate broken down by input token, output token and cache, so you can estimate the cost of your workload before you start.

A token is the smallest unit of text a model processes; roughly speaking a thousand tokens is about 750 English words. The cost of a request is the sum of its input and output tokens, so shortening your prompt and capping the response length reduces cost directly. Some models have a second price tier for very long inputs, which reprices the entire request once it crosses a stated threshold.