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Perplexity

Sonar Reasoning Pro

Best for Research

Perplexity’s Sonar Reasoning Pro combines multi-step analysis with web retrieval. Distinct from the retired sonar-reasoning API identifier.

ResearchReasoning

At a glance

Know the model before you prompt.

Perplexity API specifications
Context window
128,000 tokens
Maximum output
Not verified
Inputs → output
Text → Text
Knowledge cutoff
Not verified

API model ID: sonar-reasoning-pro

Capabilities & boundaries

What it supports. Where the limits are.

Tool support requires the appropriate API integration; a supported tool is not automatically active in every chat.

Supported API features and tools

  • Multi-step reasoning combined with web retrieval
  • A documented 128K-token context
  • Citations and search-result metadata
  • Streaming support for long analyses

Before you choose

  • The sonar-reasoning identifier is a different model, deprecated December 15, 2025.
  • Image input combined with structured outputs is not supported in this thinking model.
  • Reasoning output can precede JSON; response_format alone does not remove it.

Reasoning behavior

This is a reasoning model with multi-step analysis, not the old sonar-reasoning identifier. Avoid assuming that another provider’s effort settings apply. The documented response can include a think block before the answer, so structured-output integrations must handle that format.

  • Perplexity’s migration guide maps Sonar Reasoning Pro to the Agent API low preset. Presets and underlying model selections can change; test results after migrating.
  • The reviewed model card does not publish a maximum output-token limit or training cutoff. Web access does not make an unknown training cutoff a current date.
  • This guide’s examples use text. Check the selected endpoint’s current input and output support rather than assuming full parity with another Sonar or Agent API configuration.

Put it to work

Start with a more useful prompt.

Original examples from EZ Ai Assist. Adapt these to your task and the features available in your workspace.

Workflow 01

Evaluate an infrastructure decision

Use evidence and decision criteria, not a request for private internal reasoning.

Evaluate the infrastructure options below against the workload constraints I provide. Verify externally checkable claims using official sources. Present a concise rationale, a trade-off table, assumptions, and conditions that would change the recommendation. Flag missing measurements; do not invent benchmark results.

Workflow 02

Investigate conflicting claims

Ask for a traceable conclusion with visible uncertainty.

Investigate these conflicting technical claims. Find the strongest primary evidence for each, identify version or methodology differences, and explain whether the conflict is real or only apparent. Cite the relevant passages by source link. State a confidence level and the evidence still needed before making a decision.

Workflow 03

Stress-test a market hypothesis

Separate observations from inferred business conclusions.

Assess the market hypothesis below using recent primary sources and the decision criteria I provide. List supporting evidence, counterevidence, and important unknowns. Distinguish reported facts from your interpretation. Recommend a small validation experiment and explain what result would falsify the hypothesis.

Developer reference

Perplexity API pricing

These are Perplexity Sonar API reference prices, not EZ Ai Assist subscription prices.

View EZ Ai Assist plans
Published Sonar reference · USD per 1,000,000 tokens
Token typePrice
Input$2.00
Output$8.00
Additional API fees · USD
UsageRate and unit
Low search context$6.00per 1,000 requests
Medium search context$10.00per 1,000 requests
High search context$14.00per 1,000 requests
  • These are the published Sonar reference rates, not an estimate of migrated Agent API costs or OpenRouter resale prices. Check the current endpoint, preset, and response usage before budgeting.
  • Add the applicable search-context request fee to token charges. Search context controls retrieved material, not reasoning effort.
  • Perplexity recommends Agent API for new projects. Migration can change both execution and billing; retain these rates as a clearly scoped Sonar reference.

Common questions

A few things worth knowing.

When should I consider Sonar Reasoning Pro?

Consider Sonar Reasoning Pro for evidence-based comparisons and multi-step analysis that needs web retrieval. Ask for a concise rationale, source citations, and uncertainty; verify the recommendation against the underlying documents.

What changed with the Sonar API?

Perplexity says Sonar Chat Completions support ended September 27, 2026. Synchronous and streaming calls continue through a gradual translation to Agent API requests; async Sonar calls are no longer supported. This does not establish whether EZ Ai Assist or a reseller exposes a particular model.

Which Agent API preset is the documented replacement?

Perplexity maps Sonar Reasoning Pro to low. Treat this as migration guidance, not an identical model or a guaranteed equivalent response. Recheck citations, quality, latency, and usage on representative tasks.

Are search fees included in token prices?

No. The published Sonar table adds request fees based on search-context size. The low, medium, and high rows are per 1,000 requests, not per million tokens.

Is this the same as sonar-reasoning?

No. Sonar Reasoning Pro uses sonar-reasoning-pro. Perplexity says sonar-reasoning was deprecated December 15, 2025; its specifications and pricing must not be substituted for the Pro model.

What do the limits on this page mean?

The model card lists a 128K-token context. It does not establish a maximum output limit or training cutoff in the reviewed documentation. Integration limits may be lower, and search-backed answers still need checking.

Are these fees part of my EZ Ai Assist subscription?

No. The reference table describes Perplexity’s documented API billing. EZ Ai Assist plans are separate, and app availability must be checked in the workspace. These prompts are original starting points, not verified benchmark outputs.

Check the source

Official documentation

Specifications and API prices checked on . Example prompts and workflow advice are editorial guidance from EZ Ai Assist.

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