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sonar

Lightweight offering with search grounding, quicker and cheaper than Sonar Pro.

Web searchJSON schema
Try sonarCompareDocs

Specifications

Context window131K tokens
Max output8K tokens
API typechat
AddedMar 7, 2025
Model IDperplexity/sonar
Data retentionYes
Used for trainingUnknown
Provider location🇺🇸 US
Privacy policyPerplexity Privacy Policy→

Benchmarks

Released 2025-01-28
GPQA Diamondreasoning
62.3%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
17.9%

Artificial Analysis Intelligence Index — a composite of multiple evaluations measuring overall model capability.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality — always test on your own workload.

Pricing

Input / 1M
$1.00
Output / 1M
$1.00
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.11
1M input + 100K output$1.10
10M input + 1M output$11.00

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to perplexity/sonar.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="perplexity/sonar",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other Perplexity AI models

sonar-reasoning-pro
131K ctx$2.00/1M
sonar-pro
205K ctx$3.00/1M

Frequently asked questions

How much does sonar cost?
sonar is priced at $1.00 per million input tokens and $1.00 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of sonar?
sonar has a context window of 131K tokens, with a maximum output of 8K tokens per response. That's roughly 175 words of input you can fit in a single prompt.
How does sonar perform on benchmarks?
sonar scores 62.3% on GPQA Diamond, 17.9% on Intelligence Index. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can sonar do?
sonar supports web search, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use sonar with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "perplexity/sonar". The Quickstart above shows Python, JavaScript and cURL snippets.

Access sonar through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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