Scientific Paper Fact-Checking: Sonar Deep Research

Complete Analysis: 25,000 tokens for Sonar Deep Research

Complete analysis of pricing, performance, and use cases for Perplexity's Sonar Deep Research model .

$0.080000 Total Cost
25,000 Total Tokens
2 minutes, 13.00 seconds Processing Time
187 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Sonar Deep Research
PerplexityMax Context: 1,000,000 tokens
$2 / $8 + citations research pricing
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Use Batch API (50% discount)
0%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.

Calculate Token Costs

$0.080000 Total Cost
$0.040000 Input Cost
$0.040000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
25,000Total Tokens
$0.003200Cost per 1K
312,500Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

2m 13s Processing Time
200 Tokens/Second
300ms Time to First Token
187 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after
🧠 Reasoning & Thinking
Apply 1.5x multiplier to output tokens (GPT-5.4, Claude 4.6)
Manual thinking tokens (billed at output rate)
🔧 Special Modes
Enable 4x Tunnel Multiplier (applied after markup)
Enable 6.0x Fast Mode multiplier
📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited
🎤 Realtime Audio & Video
Session length for billing

Sonar Deep Research Perplexity 1000000

$0.080000
Total Cost
📊 Batch API 🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.080000 Input: $0.040000
Output: $0.040000
Optimized Cost $0.080000 Input: $0.040000
Output: $0.040000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 20,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.040000
  • Output Cost: $0.040000
  • Total Cost: $0.080000
  • Cost per 1K tokens: $0.003200 (rounded ~ 0.00)
  • Tokens per dollar: 312,500 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 200 tokens per second and 300ms time to first token:

  • Processing Time: 2 minutes, 13.00 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 200 tokens/second
  • Effective Throughput: 187 tokens/second (temperature-adjusted)

Best Use Cases

Academic ResearchFact-CheckingCitations

✨ Market Recommendations AI Model Registry

← Back to Sonar Deep Research
📋 Active Input Parameters
Input Tokens: 20,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Sonar Deep Research
🏆 Mistral Small 3
Mistral AI
 $0.000875 Best Value ↓ 98.9% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.002000 (rounded ~ 0.00) ↓ 97.5% cheaper
🥉 Llama 4 Maverick (400B)
Meta AI
 $0.009650 ↓ 87.9% cheaper
#4 o4-mini Deep Research
OpenAI
 $0.010000 ↓ 87.5% cheaper
#5 o4-mini
OpenAI
 $0.011000 (rounded ~ 0.01) ↓ 86.3% cheaper
#6 Mistral Large 3
Mistral AI
 $0.017500 (rounded ~ 0.02) ↓ 78.1% cheaper
#7 GPT-5.3 Codex Spark
OpenAI
 $0.026250 (rounded ~ 0.03) ↓ 67.2% cheaper
#8 Grok 5
xAI
 $0.033750 (rounded ~ 0.03) ↓ 57.8% cheaper
#9 Gemini 3.1 Pro
Google
 $0.050000 ↓ 37.5% cheaper
#10 GPT-5.4 Thinking
OpenAI
 $0.062500 (rounded ~ 0.06) ↓ 21.9% cheaper
#11 Claude Sonnet 4.6
Anthropic
 $0.067500 (rounded ~ 0.07) ↓ 15.6% cheaper
#12 o3 Deep Research
OpenAI
 $0.100000 ↑ 25% more
#13 Claude Opus 4.6
Anthropic
 $0.112500 (rounded ~ 0.11) ↑ 40.6% more
#14 o3 Pro
OpenAI
 $0.200000 ↑ 150% more
#15 GPT-5.2 Pro
OpenAI
 $0.315000 (rounded ~ 0.32) ↑ 293.8% more
#16 GPT-5.2 Pro
OpenAI
 $0.315000 (rounded ~ 0.32) ↑ 293.8% more
🏆

Mistral Small 3
Mistral AI

$0.000875
vs Sonar Deep Research: ↓ 98.9%
🥈

Gemini 3.1 Flash Lite
Google

$0.002000 (rounded ~ 0.00)
vs Sonar Deep Research: ↓ 97.5%
🥉

Llama 4 Maverick (400B)
Meta AI

$0.009650
vs Sonar Deep Research: ↓ 87.9%
#4

o4-mini Deep Research
OpenAI

$0.010000
vs Sonar Deep Research: ↓ 87.5%
#5

o4-mini
OpenAI

$0.011000 (rounded ~ 0.01)
vs Sonar Deep Research: ↓ 86.3%
#6

Mistral Large 3
Mistral AI

$0.017500 (rounded ~ 0.02)
vs Sonar Deep Research: ↓ 78.1%
#7

GPT-5.3 Codex Spark
OpenAI

$0.026250 (rounded ~ 0.03)
vs Sonar Deep Research: ↓ 67.2%
#8

Grok 5
xAI

$0.033750 (rounded ~ 0.03)
vs Sonar Deep Research: ↓ 57.8%
#9

Gemini 3.1 Pro
Google

$0.050000
vs Sonar Deep Research: ↓ 37.5%
#10

GPT-5.4 Thinking
OpenAI

$0.062500 (rounded ~ 0.06)
vs Sonar Deep Research: ↓ 21.9%
#11

Claude Sonnet 4.6
Anthropic

$0.067500 (rounded ~ 0.07)
vs Sonar Deep Research: ↓ 15.6%
#12

o3 Deep Research
OpenAI

$0.100000
vs Sonar Deep Research: ↑ 25%
#13

Claude Opus 4.6
Anthropic

$0.112500 (rounded ~ 0.11)
vs Sonar Deep Research: ↑ 40.6%
#14

o3 Pro
OpenAI

$0.200000
vs Sonar Deep Research: ↑ 150%
#15

GPT-5.2 Pro
OpenAI

$0.315000 (rounded ~ 0.32)
vs Sonar Deep Research: ↑ 293.8%
#16

GPT-5.2 Pro
OpenAI

$0.315000 (rounded ~ 0.32)
vs Sonar Deep Research: ↑ 293.8%
✨ How recommendations work (v8.6.0): We scan all active models in the registry and only include those that support ALL your current inputs. For token-based models, we check if they can handle your token counts. For special pricing models (OCR, video, audio), we verify they have the correct pricing structure. Features marked requested were in your inputs but not supported by that model. Now using official provider pricing without reseller markups.

Automated Peer Review Support

Use Sonar Deep Research to cross-reference scientific claims against global citation databases and identify potential hallucinations.

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. Note: Reseller markups and dedicated instance multipliers have been removed to reflect official provider pricing.
How do Market Recommendations work (v8.6.0)?
Our recommendation engine scans the entire model registry and only includes models that support ALL your current input parameters (tokens, images, video, audio, OCR, tools, batch API, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options that can handle your complete workflow. Special pricing models (OCR, video, audio, image generation) are properly handled and only appear when their specific input types are requested. v8.6.0 removes reseller markups (20% buffer) and dedicated instance multipliers to reflect official provider 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 50+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), provides optimization recommendations, and now offers intelligent market matching to find the best alternatives for your specific needs.