Perplexity: Sonar Pro SearchWork with me

Perplexity: Sonar Pro Search

byPerplexity

Sonar Pro Search is a reasoning model from Perplexity released on Oct 30, 2025. It reads text and images and writes text, with a 200K token context window and up to 8K tokens per reply.

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It costs $3 per million input tokens and $15 per million output tokens.

It supports structured JSON output.

Modalities
In / out price
$3 / $15 per 1M
Context
200K
Max output
8K
Released
Oct 30, 2025
Knowledge cutoff
n/a
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

Sonar Pro Search pricing

USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.

Input$3 / 1M tokens
Output$15 / 1M tokens

What Sonar Pro Search costs per month

Pick a workload close to yours or type your own volumes.

Sonar Pro Search per month
$383
Without caching
$383
Per request
$0.0127

Supported request parameters

What you can set when you call Sonar Pro Search through an OpenAI compatible API.

  • Structured outputsstructured_outputs
  • Reasoningreasoning
  • Temperaturetemperature

Alternatives to Sonar Pro Search

Models that take the same inputs, closest in price, cheaper ones first.

  • Reads text, images and video. Tool calling, structured output, reasoning. Served by 72 providers.

    by moonshotaiJul 16, 20261.05M context$3/M input tokens$15/M output tokens72 providers

  • Reads text, images and files. Tool calling, structured output, reasoning. Served by 48 providers.

    by anthropicFeb 5, 2026$3/M input tokens$15/M output tokens48 providers

  • Reads text, images and files. Tool calling, structured output, reasoning. Served by 33 providers.

    by anthropicJan 15, 2025$3/M input tokens$15/M output tokens33 providers

  • Reads text and images. Tool calling, structured output, reasoning. Served by 22 providers.

    by thinkingmachinesJul 15, 2026$3.74/M input tokens$9.36/M output tokens22 providers

  • Reads text, images and files. Tool calling, structured output, reasoning. Served by 38 providers.

    by openaiJul 9, 20261.05M context$2/M input tokens$12/M output tokens38 providers

  • Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 31 providers.

    by googleFeb 18, 20261.05M context$2/M input tokens$12/M output tokens31 providers

More from Perplexity

  • Embed v1 0.6b

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    by perplexityFeb 26, 2026

  • Embed v1 4b

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    by perplexityFeb 26, 2026

  • Reads text. Reasoning. Served by 6 providers.

    by perplexityJan 27, 2025$2/M input tokens$8/M output tokens6 providers

  • Reads text. Tool calling, structured output. Served by 11 providers.

    by perplexityJan 1, 2024$1/M input tokens$1/M output tokens11 providers

  • Reads text and images. Structured output. Served by 8 providers.

    by perplexityJan 1, 2024$3/M input tokens$15/M output tokens8 providers

  • Reads text and images. Structured output, reasoning. Served by 6 providers.

    by perplexityJan 1, 2024$2/M input tokens$8/M output tokens6 providers

All Perplexity models

Sonar Pro Search questions

How much does the Sonar Pro Search API cost?

$3 per million input tokens and $15 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.

What is the context window of Sonar Pro Search?

200,000 tokens of input, and it can write up to 8,000 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.

Does Sonar Pro Search support tool calling?

Not through the standard tools parameter. For an agent that calls your APIs, pick a model from the alternatives below that does.

Is Sonar Pro Search open source?

No. Perplexity serves it through an API only, so you cannot download the weights or host it yourself.

When was Sonar Pro Search released?

Oct 30, 2025.

Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.

Building on Sonar Pro Search?

I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.

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