Models / Perplexity/ Sonar Deep Research

Sonar Deep Research

Perplexity · released Mar 7, 2025

Input: text. Output: text.InputOutput
Type
Closed
Input
$2.00
Output
$8.00
Cached
None held

List price · per 1M tokens · Perplexity at 128K context · source ↗

Our take

Written Sep 2, 2026

Sonar Deep Research is Perplexity's proprietary text model built for long-document research, handling up to 128,000 tokens in a single request. It is available only through hosted access, with no downloadable weights or measured quality scores yet.

Who should pick it

Pick this for research workflows on documents up to 128,000 tokens, or if you are already working inside the Perplexity ecosystem. Skip it if you need verified quality benchmarks, want to self-host or fine-tune, or require price competition between providers.

The case for it

  • 128,000-token request limit — among the larger windows we hold for this model class.
  • Identical pricing across both access paths, so there is no arbitrage hunt between them.
  • Perplexity's own endpoint delivers 44 tokens per second, a concrete throughput figure.

The case against it

  • No benchmark scores in our data, so research-grade output is unverified.
  • Proprietary weights with no local deployment or fine-tuning possible.
  • Parameter count undisclosed by the vendor.
00

How good is it?

We hold no score for this model.

So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.

Where these scores come from →

01

Where to rent it

Prices checked 2 hours ago — each listing carries its own date.

Cheapest published offer

Perplexity, through OpenRouter

The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts Perplexity on 128K of context.

per 1M tokens
$2.00 in / $8.00 out
Context served
128K
Throughput
~36 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouterOpenRouter's own listing$2.00 / $8.00checked 2 hours ago128Knot measuredUnknownUnknownUnknown
PerplexityThrough OpenRouter$2.00 / $8.00checked 2 hours ago128K115K max reply36 tok/sNoNoConfirmed

Across the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 1 appears in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
OpenRouterOpenRouter's own listing✗✗✗
PerplexityThrough OpenRouter✗✗✗

Tool calling: 0 of 2 listings say yes, 2 say no. JSON output: 0 of 2 listings say yes, 2 say no. Strict schema: 0 of 2 listings say yes, 2 say no.

02

When we formed this view

Recent changes

Jul 26, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Mar 7, 2025AnnouncedSonar Deep Research announced by Perplexity

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • No independent board has scored it, so we hold no quality figures at all.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 2 listings does not say whether it trains on prompts.
  • We hold no cached-input rate for any of its listings.
  • We hold no batch or off-peak rate for any of its listings.
03

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text in, text out
Catalogue slug
perplexity-sonar-deep-research

Machine-readable model card (omc.json) →

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