Perplexity API Pricing
AI-powered search with real-time web access and citations
5 paid models · 16 free · Price range: $1.00 - $3.00 /1M
About Perplexity
Perplexity combines large language models with real-time web search to provide accurate, cited answers. Their API enables developers to build applications with built-in web search capabilities, making it ideal for applications requiring current information with source attribution.
Key Highlights
- Real-time web search integration
- Automatic source citations
- Sonar models for search-augmented generation
- Current information access
- Reduced hallucination through grounding
Pricing Features
- Pay-per-token billing
Pricing includes web search costs. Competitive rates for search-augmented generation use cases.
API Features
Common Use Cases
- • Research Assistants
- • Fact-Checking Applications
- • News Analysis
- • Knowledge Base Q&A
- • Current Events
Perplexity API pricing guide
Focused notes for developers comparing official pricing, API docs, token billing, and model fit.
Perplexity API pricing for Sonar search models
Perplexity API pricing is most useful to evaluate as a search-augmented generation cost, not only as a raw LLM token cost. Sonar models are designed for answers that need fresh web context, source citations, or grounded research workflows, so compare both model price and the value of built-in web search before choosing an alternative.
- Use Perplexity API pricing docs when you need current official model and search pricing.
- Compare per-1M token prices here, then convert to per-1K tokens for small request budgets.
- Choose Sonar-style models when citation quality and current information matter.
- Use a cheaper non-search LLM when your prompt already contains all required context.
Per-1K and per-1M token planning
Most AI providers publish or compare pricing per 1M tokens, while developers often estimate product features per 1K tokens or per request. Divide a per-1M token price by 1000 to estimate per-1K token cost, then multiply by your expected input and output token mix.
- A request with web search may justify a higher unit price when it replaces your own search pipeline.
- Track input and output tokens separately because long cited answers can increase output cost.
- Use the calculator link from this page to model monthly Perplexity API usage.
Deep Research and citation-heavy workloads
Perplexity Deep Research API cost should be judged by the value of the retrieved sources and citations, not only by token output. A research workflow may cost more per request than a plain chat completion, but it can replace separate search, retrieval, ranking, and citation-building logic.
- Use Perplexity when fresh web context and citations are part of the product requirement.
- Track long answers carefully because grounded research can increase output tokens.
- Compare against building your own search pipeline plus a cheaper LLM before optimizing only for token price.
| Best fit for Perplexity | Use another provider when | Billing checks before launch |
|---|---|---|
| Research assistants, fact-checking tools, news monitoring, and current-information workflows. | Your prompts already contain all needed context and do not require live web search. | Estimate input tokens, generated answer length, and any search or research-mode charges separately. |
| Products where citations and source-grounded answers are visible user requirements. | You need the absolute cheapest offline text generation model. | Convert per-1M token prices to per-1K only after separating input and output rates. |
| Teams that want search and answer generation bundled into one API flow. | Your application cannot tolerate variable retrieval depth or longer research-style outputs. | Verify official Sonar and Deep Research pricing before large-volume launch. |
Related search terms
📊 Perplexity Model Comparison
Compare all models side by side. Sorted by total price (input + output).
| Model | Tier | Input /1M | Output /1M | Total /1M | Context | Best For |
|---|---|---|---|---|---|---|
| Sonar | Budget | $1.00 | $1.00 | $2.00 | 127k | Image analysis |
| Sonar Deep Research | Balanced | $2.00 | $8.00 | $10.00 | 128k | Complex reasoning, math |
| Sonar Reasoning Pro | Balanced | $2.00 | $8.00 | $10.00 | 128k | Complex reasoning, math |
| Sonar Pro Search | Flagship | $3.00 | $15.00 | $18.00 | 200k | Complex reasoning, math |
| Sonar Pro | Flagship | $3.00 | $15.00 | $18.00 | 200k | Image analysis |
🎯 Which Perplexity Model Should You Choose?
Quick recommendations based on your use case.
💰 Perplexity Monthly Cost Examples
Estimated monthly costs for common use cases.
| Use Case | Monthly Usage | Sonar (Budget) |
Sonar Reasoning (Flagship) |
|---|---|---|---|
|
Customer Service Bot
1000 conversations/day
|
500k input 200k output |
$0.70/mo | $0.00/mo |
|
Code Assistant
200 requests/day
|
1.0M input 500k output |
$1.50/mo | $0.00/mo |
|
Data Analysis
500 analyses/day
|
2.0M input 300k output |
$2.30/mo | $0.00/mo |
⚔️ Perplexity vs Competitors
How does {brand} compare to other major AI providers?
| Brand | Model | Input /1M | Output /1M | Total /1M | Context | vs {brand} |
|---|---|---|---|---|---|---|
|
Perplexity
|
Sonar Reasoning Current | Free | Free | Free | 127k | — |
OpenAI
|
Codex Mini | $1.50 | $6.00 | $7.50 | 200k | Infinity% more |
|
OpenAI
|
GPT-5.2 Pro | $21.00 | $168.00 | $189.00 | 400k | Infinity% more |
|
OpenAI
|
GPT-5.2 | $1.75 | $14.00 | $15.75 | 400k | Infinity% more |
|
OpenAI
|
GPT-5.1-Codex-Max | $1.25 | $10.00 | $11.25 | 400k | Infinity% more |
|
OpenAI
|
GPT-5.1 | $1.25 | $10.00 | $11.25 | 400k | Infinity% more |
|
OpenAI
|
GPT-5.1-Codex | $1.25 | $10.00 | $11.25 | 400k | Infinity% more |
All Models
❓ Perplexity Pricing FAQ
What is the cheapest Perplexity model?
The cheapest Perplexity model is Sonar at $2.00 per 1M tokens (input + output combined).
What is the maximum context length for Perplexity models?
Perplexity models support up to 200k context length, allowing you to process large documents and maintain long conversations.
How do I choose between Perplexity models?
For budget projects, choose the cheapest model. For code generation, prioritize low output price. For complex reasoning, choose models with reasoning capability. Use our scenario guide above.
Where should I check Perplexity API pricing docs?
Use the official API docs and pricing link from this page for final verification, then use the table here to compare Perplexity models with other AI APIs on the same per-token basis.
How do I convert Perplexity API pricing per 1M tokens to per 1K tokens?
Divide the per-1M token price by 1000. For a real request estimate, calculate input tokens and output tokens separately because they may have different prices.
When is Perplexity API pricing worth it compared with a cheaper LLM?
It is usually worth considering when your application needs fresh web information, citations, source-grounded answers, or research workflows that would otherwise require a separate search and retrieval stack.
How should I budget for Perplexity Deep Research API cost?
Budget by request type. Short grounded answers may behave like normal token usage, while deep research can generate longer cited outputs and may replace your own retrieval pipeline. Always model input and output separately.