Perplexity Pro vs SearchGPT: The Cost of Information

perplexity-pro vs searchgpt
Complete Comparison: 1,000 input tokens × 300 output tokens
Comparison Mode (Custom field comparison)

Complete comparison of pricing, performance, and capabilities for 2 leading AI models .

Comparison Criteria perplexity-pro
Perplexity
searchgpt
OpenAI
Input Parameters Applied
Input Tokens 1,000 1,000
Output Tokens 300 300
Calculation Results
Input Cost $0.002000 (rounded ~ 0.00) $0.002000 (rounded ~ 0.00)
Output Cost $0.003600 (rounded ~ 0.00) $0.003600 (rounded ~ 0.00)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $0.055600 (rounded ~ 0.06) $0.055600 (rounded ~ 0.06)
Processing Time 2.78 seconds 2.78 seconds
Tokens per Second 500 500
Time to First Token 200ms 200ms
Cost per 1K tokens $0.042769 (rounded ~ 0.04) $0.042769 (rounded ~ 0.04)
Tokens per Dollar 23,381 23,381
Cost per 1 Million Tokens
Input Cost / 1M (Base) $2.000000 $2.000000
Output Cost / 1M (Base) $12.000000 $12.000000
Input Cost / 1M (Optimized) $2.000000
Optimizations: No optimizations applied
$2.000000
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $12.000000
Optimizations: No optimizations applied
$12.000000
Optimizations: No optimizations applied
Capabilities
Caching Support ✗ Not Supported ✗ Not Supported
Batch API Support ✗ Not Supported ✗ Not Supported
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

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All other parameters will be preserved from the current comparison.

Select AI Model

Perplexity Pro
OtherMax Context: 32,768 tokens
Input: $2.000000 / 1M
Output: $12.000000 / 1M

Calculate Token Costs

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▼
Provider-specific multipliers applied after all calculations
Enable for Haiku 4.5 hard cap bypass
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Multiply total cost by quantity for project budgeting
$0.055600Total Cost
$0.002000Input Cost
$0.003600Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
1,300Total Tokens
$0.042769Cost per 1K
23,381Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
2.78sProcessing Time
500Tokens/Second
200msTime to First Token
500Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
0%
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data (Pro: $4.50/1M/hr, Flash: $1.00/1M/hr)
First 50 hours free, $0.05/hour after (reset at 00:00 UTC)
🧠 Specialized Modes
Enable Thinking Mode (Google models)
Manual thinking tokens (billed at output rate, disabled by default)
Adaptive thinking token estimation for DeepSeek models
30% output surcharge (Vertex AI priority)
Billed at output rate × reasoning multiplier
Global 2x multiplier for priority processing
Enable Reasoning/Thinking Mode (DeepSeek R1, Grok Deep Reason)
Enable Agentic Swarm
🔧 Automated Service Fees
Enable for DeepSeek V4 ($0.01 per 1M tokens)
Enable code execution (adds $0.05 flat fee)
$0.01 per query (auto-applied based on Search Queries input)
🤖 xAI Agent Tools (Unified $5.00/1k)
Real-time X data access calls
Standard internet search calls
Python sandbox execution calls (overrides flat fee if set)
📚 xAI RAG Tools (Unified $2.50/1k)
File search tool access
Collections/RAG knowledge base access - aggregated with File Search at $2.50/1k
ℹ️ Updated xAI Tool Pricing: Agent tools (web, X, code) at $5.00/1k calls. RAG tools (collections, file) at $2.50/1k calls. Integer code_execution_calls overrides boolean.
🎤 Realtime Audio & Deep Research
Enable Deep Research ($2.00/$8.00 rates)
Session length for billing ($0.01 per minute, rounded up)
Active speech time within session
📄 Mistral AI - Unit-Based Options
Number of pages to process with OCR (tiered pricing auto-applied)
Enable HTML table reconstruction surcharge
Duration-based audio processing (not token-based)
Enable speaker diarization (Voxtral models only)
Enable context biasing (Voxtral models only)
🔬 Research & Citation
Enable research tier pricing ($2.00/$8.00 + $0.005/query)
Enable reasoning with 1,000 token floor ($0.015 min)
Fee per source cited when research mode is enabled
⚙️ Performance Tuning
Low = Fast
High = Creative
📊 Advanced Cost Breakdown
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

perplexity-pro Perplexity

$0.055600 (rounded ~ 0.06)
Total Cost
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.055600 (rounded ~ 0.06) Input: $0.002000 (rounded ~ 0.00)
Output: $0.003600 (rounded ~ 0.00)
Optimized Cost $0.055600 (rounded ~ 0.06) Input: $0.002000 (rounded ~ 0.00)
Output: $0.003600 (rounded ~ 0.00)
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 1,000 input tokens and 300 output tokens:

  • Input Cost: $0.002000 (rounded ~ 0.00)
  • Output Cost: $0.003600 (rounded ~ 0.00)
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $0.055600 (rounded ~ 0.06)
  • Cost per 1K tokens: $0.042769 (rounded ~ 0.04)
  • Tokens per dollar: 23,381 tokens
  • Context Window: 32768 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 200ms time to first token:

  • Processing Time: 2.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second

Best Use Cases

Market ResearchFact CheckingGeneral Search

searchgpt OpenAI

$0.055600 (rounded ~ 0.06)
Total Cost
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.055600 (rounded ~ 0.06) Input: $0.002000 (rounded ~ 0.00)
Output: $0.003600 (rounded ~ 0.00)
Optimized Cost $0.055600 (rounded ~ 0.06) Input: $0.002000 (rounded ~ 0.00)
Output: $0.003600 (rounded ~ 0.00)
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 1,000 input tokens and 300 output tokens:

  • Input Cost: $0.002000 (rounded ~ 0.00)
  • Output Cost: $0.003600 (rounded ~ 0.00)
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $0.055600 (rounded ~ 0.06)
  • Cost per 1K tokens: $0.042769 (rounded ~ 0.04)
  • Tokens per dollar: 23,381 tokens
  • Context Window: 32768 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 200ms time to first token:

  • Processing Time: 2.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second

Best Use Cases

Market ResearchFact CheckingGeneral Search

The New Search Engine Economics

Search is no longer free. We compare the ‘Cost per Query’ for AI Search leaders. This analysis factors in the citations, real-time data accuracy, and the ‘Ads-Free’ premium of Perplexity vs the deep ecosystem integration of OpenAI’s SearchGPT.

Frequently Asked Questions

How accurate are these AI model cost calculations?
Our calculations are based on official pricing from each provider (Google, OpenAI, Anthropic, Meta, xAI, Perplexity, DeepSeek, Mistral) and are updated regularly. We account for all factors including multimodal inputs, caching discounts, batch API pricing, tool usage multipliers, OCR processing, audio minutes, silence fees, and research mode pricing.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 38 AI models. It calculates token-based pricing, analyzes multimodal processing, and provides optimization recommendations.