Enterprise Deep Research: 50-Source Competitive Analysis

sonar-deep-research vs claude-opus-4.5
Complete Comparison: 400,000 input tokens × 15,000 output tokens
Comparison Mode
⚡ 30% Cached 🔍 5,000 Embedding Tokens

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 30% Cached, 5,000 Embedding Tokens.

Comparison Criteria sonar-deep-research
Perplexity
claude-opus-4.5
Anthropic
Calculation Results (Current Inputs) (30% cached)
Input Tokens N/A (Special Pricing) 400,000
Output Tokens N/A (Special Pricing) 15,000
Cost Breakdown
Input Cost N/A (Special Pricing) $4.000000
Output Cost N/A (Special Pricing) $0.562500 (rounded ~ 0.56)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.920000 Best Value $3.422500 (rounded ~ 3.42) Most Expensive
Processing Time 34 minutes, 55.00 seconds Slowest 23 minutes, 17.00 seconds Fastest
Tokens per Second N/A (Special Pricing) 300
Time to First Token 300ms Best 350ms Worst
Cost per 1K tokens N/A (Special Pricing) $0.008247 (rounded ~ 0.01)
Tokens per Dollar N/A (Special Pricing) 121,256
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) N/A (Special Pricing) $10.000000
Output Cost / 1M (Base) N/A (Special Pricing) $37.500000
Input Cost / 1M (Optimized) N/A (Special Pricing) $10.000000
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) N/A (Special Pricing) $37.500000
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✗ Not Supported ✓ Supported
Caching Support
30
✗ Not Supported requested ✓ Supported
Batch API Support ✗ Not Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Embedding Tokens
5000
5,000 5,000
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Select AI Model

Sonar Deep Research
PerplexityMax Context: 1,000,000 tokens
$2 / $8 + citations research pricing
▼
▼
Use Batch API (50% discount)
30%
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

$0.920000 Total Cost
$0.800000 Input Cost
$0.120000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
415,000Total Tokens
$0.002217Cost per 1K
451,087Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

34m 55s Processing Time
200 Tokens/Second
300ms Time to First Token
198 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

sonar-deep-research Perplexity 1000000

$0.920000
Total Cost
⚡ 30% Cached 🔧 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) $0.920000 Input: $0.800000
Output: $0.120000
Optimized Cost $0.920000 Input: $0.800000
Output: $0.120000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 400,000 input tokens and 15,000 output tokens:

  • Input Cost: $0.800000
  • Output Cost: $0.120000
  • Total Cost: $0.920000
  • Cost per 1K tokens: $0.002217 (rounded ~ 0.00)
  • Tokens per dollar: 451,087 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: 34 minutes, 55.00 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 200 tokens/second
  • Effective Throughput: 198 tokens/second (temperature-adjusted)

Best Use Cases

Market ResearchCompetitive IntelligenceFact-CheckingStrategy

claude-opus-4.5 Anthropic 1000000 🏔️ Context Cliff

$3.422500 (rounded ~ 3.42)
Total Cost
⚡ 30% Cached 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $4.562500 (rounded ~ 4.56) Input: $4.000000
Output: $0.562500 (rounded ~ 0.56)
Optimized Cost $3.422500 (rounded ~ 3.42) Input: $4.000000
Output: $0.562500 (rounded ~ 0.56)
Unit: $0.000000
Fees: $0.000000
Total Savings $1.140000 25.0% discount

Advanced Cost Breakdown (from Plugin)

🏔️ Context Cliff
Premium Tier
>200,000 tokens triggered premium pricing
📊 Cliff Pricing
Premium
premium pricing (threshold: 200,000)

Detailed Cost Analysis (from Plugin)

For 400,000 input tokens and 15,000 output tokens:

  • Input Cost: $4.000000
  • Output Cost: $0.562500 (rounded ~ 0.56)
  • Total Cost: $3.422500 (rounded ~ 3.42)
  • Cost per 1K tokens: $0.008247 (rounded ~ 0.01)
  • Tokens per dollar: 121,256 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 300 tokens per second and 350ms time to first token:

  • Processing Time: 23 minutes, 17.00 seconds
  • Latency: 350 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 297 tokens/second (temperature-adjusted)

Best Use Cases

Market ResearchCompetitive IntelligenceFact-CheckingStrategy

✨ Market Recommendations AI Model Registry

← Back to sonar-deep-research
📋 Active Input Parameters
Input Tokens: 400,000
Output Tokens: 15,000
Cached Tokens: 30%
Tools: Enabled
Embedding Tokens: 5,000 tokens
🔍
No Alternatives Found
No other models in the registry support all your current input parameters. Try adjusting some parameters to see more options.
Remove Images Remove Video Remove Audio Remove OCR Remove Tools
✨ 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.

AI-Powered Competitive Intelligence Economics

Calculating the unit economics of autonomous deep research agents tasked with synthesizing data from 50+ disparate sources, including SEC filings, earnings calls, and global market reports in 2026. This analysis focuses on the high-reasoning costs of Perplexity’s Sonar Deep Research vs Claude Opus’s analytical depth.

Research Parameters & Logic Costs

  • Source Volume: 50 high-density documents (~400K tokens)
  • Reasoning Loops: 12-step recursive verification and synthesis
  • Output Report: 15,000 tokens of boardroom-ready insights
  • API Mode: Deep Research optimized for high-factuality targets
  • Cache Strategy: 30% for repeated market terminology and boilerplate
  • Temperature: 0.1 for maximum factuality and consistency

Strategic Business Value

M&A due diligence, quarterly competitive auditing, emerging threat detection, and patent landscape analysis. This calculator benchmarks the cost of sub-hour deep research compared to traditional consultant-led manual research weeks.

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 does prompt caching work?
Caching discounts vary by provider: Google and OpenAI offer 90% discounts on cached input tokens. Anthropic uses write (1.25x) and read (0.10x) multipliers. Savings are applied to the token portion only, not unit-based fees.
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.