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Perplexity logo

Perplexity

on Orq.ai

Access Perplexity models through Orq.ai for search-grounded chat, reasoning, research, and other web-connected AI workloads through one API.

Capabilities:

Chat

Reasoning

Models Supported:

sonar

sonar-deep-research

sonar-pro

sonar-reasoning-pro

...

Provider HQ:

San Francisco, California

Access Perplexity through Orq.ai’s AI Router

Perplexity is a search-focused AI provider that combines language models with web retrieval to produce grounded responses backed by current information and source citations. Its APIs are particularly suited to research, question answering, and workflows where responses need access to information beyond a model’s static training data.

Perplexity models available on Orq.ai

Compare the Perplexity models currently available through Orq.ai, including their supported capabilities, context windows, pricing, and regional availability.

Model

Type

Context

Input / 1M

Output / 1M

sonar

chat

128K

$1.00

$1.00

sonar-deep-research

chat

128K

$2.00

$8.00

sonar-pro

chat

Vision

200K

$3.00

$15.00

Why use Perplexity through Orq.ai?

Capability

Provider

Direct

Through Orq.ai

Chat & search

Perplexity models

Use supported Perplexity APIs directly for search-grounded chat, question answering, and research with citations.

Route Perplexity workloads through Orq.ai while applying routing, tracing, evals, budgets, and governance controls around each request.

Research

Perplexity research capabilities

Use supported models and APIs for web research, source-backed analysis, and information gathering.

Route research-heavy workflows to Perplexity while comparing cost, latency, and quality with other models from a shared control layer.

Long-context analysis

Perplexity models

Use supported models for workflows that combine retrieved web information with larger amounts of context and multi-step analysis.

Send workloads that need search and deeper analysis to Perplexity while routing simpler tasks to other providers where appropriate.

Using Perplexity through Orq.ai lets teams add search-grounded reasoning and web research to a wider model stack while centralizing routing, observability, evaluations, and cost controls.

Pricing

Perplexity pricing varies by model, API, search configuration, token usage, and billing setup.

Some workloads combine token-based model charges with request-based search fees or other usage charges. Search, research, embeddings, and other API capabilities may use different pricing structures.

You can connect supported Perplexity credentials to Orq.ai or use other available access options depending on your workspace configuration. Check Orq.ai and your Perplexity setup for current rates, quotas, and billing details.

Compatible frameworks and tools

Perplexity models and APIs can be incorporated into supported Orq.ai workflows through available provider and API integrations. Compatibility depends on the model, search capability, endpoint, and integration configuration being used.

Check the Orq.ai integration documentation for the latest setup options and compatibility information for Perplexity.

FAQs

Do I need a separate Perplexity account to use Perplexity through Orq.ai?

You can connect supported Perplexity credentials to Orq.ai or use other available access options depending on your workspace, plan, and region.

Can I route only some workflows to Perplexity and others to different providers?

Yes. Orq.ai lets you route different workloads to different providers, so you can use Perplexity for search-grounded research and current-information workloads while routing tasks that do not require web access elsewhere.

Does using Perplexity through Orq.ai add latency?

Orq.ai adds a routing layer between your application and the provider. End-to-end latency can also depend on search retrieval, model processing, and workflow configuration, and can be monitored through Orq.ai where supported.

Alternatives to

Perplexity

Anthropic logo
Anthropic

Access Anthropic’s Claude models through Orq.ai for reasoning, coding, vision, and agentic workflows through one API.

Chat

Reasoning

Vision

Models:

claude-opus-5

claude-sonnet-5

claude-fable-5

Open AI logo
Open AI

Access OpenAI models through Orq.ai for reasoning, coding, multimodal, and other AI workloads through one API.

Chat

Reasoning

Vision

Code

Models:

gpt-5.5 (EU)

gpt-5.6-luna (EU)

gpt-5.6-sol (EU)

Google AI logo
Google AI

Access Google’s AI models through Orq.ai for reasoning, coding, multimodal, and other AI workloads through one API.

Chat

Reasoning

Vision

Code

Models:

gemini-3.5-flash-lite (Gemini API)

gemini-3.6-flash (Gemini API)

Gemini 3 Pro Image

AWS logo
AWS

Access foundation models available through Amazon Bedrock using Orq.ai for reasoning, coding, multimodal, and other AI workloads through one API.

Chat

Reasoning

Vision

Code

Models:

eu.anthropic.claude-opus-5

global.anthropic.claude-opus-5

us.anthropic.claude-opus-5

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