Perplexity
Perplexity
Efficient

Sonar

Efficient

Cheap default Sonar. Web-grounded with citations at the lowest Perplexity price point.

Sonar is a efficient AI model from Perplexity. It costs $1.000 per million input tokens and $1.000 per million output tokens (blended $1.000/M), with a 127,000-token context window.

INPUT
$1.000/M
per million input tokens
OUTPUT
$1.000/M
per million output tokens
BLENDED 70/30
$1.000/M
unchanged since 3 May
CONTEXT
127,000
tokens
What it is good at
  • Cheap web-grounded chat
  • Citations included
  • Fast
Typical use cases
  • Bulk research queries
  • Cheap fact-grounded chat

Benchmarks

vs. best public score
MMLU79%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH65%
High-school competition math problems.
Python function synthesis from docstrings.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does Sonar cost?

Sonar costs $1.000 per million input tokens and $1.000 per million output tokens, for a blended reference rate of $1.000 per million tokens.

What is Sonar's context window?

Sonar supports up to 127,000 tokens of context in a single request.

What is Sonar best for?

Sonar is well suited to Cheap web-grounded chat, Citations included and Fast.

Who makes Sonar?

Sonar is developed and served by Perplexity.

Terms used on this page