o3 Deep Research vs Sonar Deep Research: Agent Pricing

o3 Deep Research vs Sonar Deep Research
Complete Comparison: 50,000 input tokens × 10,000 output tokens
Comparison Mode
🖼️ 5 Images

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 5 Images.

🖼️ Multimodal Input
Comparison Criteria o3 Deep Research
OpenAI
Sonar Deep Research
Perplexity
Calculation Results (Current Inputs) (5 images)
Input Tokens 50,000 N/A (Special Pricing)
Output Tokens 10,000 N/A (Special Pricing)
Cost Breakdown
Input Cost $0.525800 (rounded ~ 0.53) N/A (Special Pricing)
Output Cost $0.400000 N/A (Special Pricing)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.925800 (rounded ~ 0.93) Most Expensive $0.180000 Best Value
Processing Time 13 minutes, 2.00 seconds Slowest 5 minutes Fastest
Tokens per Second 80 N/A (Special Pricing)
Time to First Token 450ms Worst 300ms Best
Cost per 1K tokens $0.014794 (rounded ~ 0.01) N/A (Special Pricing)
Tokens per Dollar 67,596 N/A (Special Pricing)
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $10.000000 N/A (Special Pricing)
Output Cost / 1M (Base) $40.000000 N/A (Special Pricing)
Input Cost / 1M (Optimized) $10.000000
Optimizations: No optimizations applied
N/A (Special Pricing)
Output Cost / 1M (Optimized) $40.000000
Optimizations: No optimizations applied
N/A (Special Pricing)
Capabilities & Advanced Features
Images Support
5
✓ Supported ✗ Not Supported requested
Caching Support ✓ Supported ✗ Not Supported
Batch API Support ✓ Supported ✗ Not Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Select AI Model

o3 Deep Research
OpenAIMax Context: 200,000 tokens
$10 / $40 per 1M tokens
▼
▼
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.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$0.925800 Total Cost
$0.525800 Input Cost
$0.400000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
62,580Total Tokens
$0.014794Cost per 1K
67,596Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

13m 2s Processing Time
80 Tokens/Second
450ms Time to First Token
80 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.

o3 Deep Research OpenAI

$0.925800 (rounded ~ 0.93)
Total Cost
🖼️ 5 Image (Medium) 🔧 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) $0.925800 (rounded ~ 0.93) Input: $0.525800 (rounded ~ 0.53)
Output: $0.400000
Optimized Cost $0.925800 (rounded ~ 0.93) Input: $0.525800 (rounded ~ 0.53)
Output: $0.400000
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
2,580 tokens

Multimodal Input Details

🖼️ Images
Count: 5
Resolution: Medium
Tokens: 2,580
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 10,000 output tokens:

  • Input Cost: $0.525800 (rounded ~ 0.53)
  • Output Cost: $0.400000
  • Total Cost: $0.925800 (rounded ~ 0.93)
  • Cost per 1K tokens: $0.014794 (rounded ~ 0.01)
  • Tokens per dollar: 67,596 tokens
  • Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 80 tokens per second and 450ms time to first token:

  • Processing Time: 13 minutes, 2.00 seconds
  • Latency: 450 milliseconds to first token
  • Base Throughput: 80 tokens/second

Best Use Cases

Market IntelligenceInvestment ResearchFact-Checking

Sonar Deep Research Perplexity 1000000

$0.180000
Total Cost
🖼️ 5 Image (Medium) 🔧 Tools
👁️
Vision/Images
✗ Not Available requested
🎧
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) $0.180000 Input: $0.100000
Output: $0.080000
Optimized Cost $0.180000 Input: $0.100000
Output: $0.080000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 10,000 output tokens:

  • Input Cost: $0.100000
  • Output Cost: $0.080000
  • Total Cost: $0.180000
  • Cost per 1K tokens: $0.003000 (rounded ~ 0.00)
  • Tokens per dollar: 333,333 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: 5 minutes
  • Latency: 300 milliseconds to first token
  • Base Throughput: 200 tokens/second

Best Use Cases

Market IntelligenceInvestment ResearchFact-Checking

✨ Market Recommendations AI Model Registry

← Back to o3 Deep Research
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 10,000
Images: 5 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs o3 Deep Research vs Sonar Deep Research
🏆 Mistral Small 3
Mistral AI
 $0.008258 (rounded ~ 0.01) Best Value ↓ 99.1% cheaper ↓ 95.4% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.009258 ↓ 99% cheaper ↓ 94.9% cheaper
🥉 Llama 4 Maverick (400B)
Meta AI
 $0.024174 (rounded ~ 0.02) ↓ 97.4% cheaper ↓ 86.6% cheaper
#4 o4-mini Deep Research
OpenAI
 $0.092580 (rounded ~ 0.09) ↓ 90% cheaper ↓ 48.6% cheaper
#5 o4-mini
OpenAI
 $0.101838 (rounded ~ 0.10) ↓ 89% cheaper ↓ 43.4% cheaper
#6 Mistral Large 3
Mistral AI
 $0.169160 ↓ 81.7% cheaper ↓ 6% cheaper
#7 Gemini 3.1 Pro
Google
 $0.225160 (rounded ~ 0.23) ↓ 75.7% cheaper ↑ 25.1% more
#8 GPT-5.3 Codex Spark
OpenAI
 $0.232015 (rounded ~ 0.23) ↓ 74.9% cheaper ↑ 28.9% more
#9 GPT-5.4 Thinking
OpenAI
 $0.281450 (rounded ~ 0.28) ↓ 69.6% cheaper ↑ 56.4% more
#10 Claude Sonnet 4.6
Anthropic
 $0.307740 (rounded ~ 0.31) ↓ 66.8% cheaper ↑ 71% more
#11 Grok 5
xAI
 $0.307740 (rounded ~ 0.31) ↓ 66.8% cheaper ↑ 71% more
#12 Claude Opus 4.6
Anthropic
 $0.512900 (rounded ~ 0.51) ↓ 44.6% cheaper ↑ 184.9% more
#13 o3 Pro
OpenAI
 $1.851600 (rounded ~ 1.85) ↑ 100% more ↑ 928.7% more
#14 GPT-5.2 Pro
OpenAI
 $2.784180 (rounded ~ 2.78) ↑ 200.7% more ↑ 1446.8% more
#15 GPT-5.2 Pro
OpenAI
 $2.784180 (rounded ~ 2.78) ↑ 200.7% more ↑ 1446.8% more
🏆

Mistral Small 3
Mistral AI

$0.008258 (rounded ~ 0.01)
vs o3 Deep Research: ↓ 99.1%
vs Sonar Deep Research: ↓ 95.4%
🥈

Gemini 3.1 Flash Lite
Google

$0.009258
vs o3 Deep Research: ↓ 99%
vs Sonar Deep Research: ↓ 94.9%
🥉

Llama 4 Maverick (400B)
Meta AI

$0.024174 (rounded ~ 0.02)
vs o3 Deep Research: ↓ 97.4%
vs Sonar Deep Research: ↓ 86.6%
#4

o4-mini Deep Research
OpenAI

$0.092580 (rounded ~ 0.09)
vs o3 Deep Research: ↓ 90%
vs Sonar Deep Research: ↓ 48.6%
#5

o4-mini
OpenAI

$0.101838 (rounded ~ 0.10)
vs o3 Deep Research: ↓ 89%
vs Sonar Deep Research: ↓ 43.4%
#6

Mistral Large 3
Mistral AI

$0.169160
vs o3 Deep Research: ↓ 81.7%
vs Sonar Deep Research: ↓ 6%
#7

Gemini 3.1 Pro
Google

$0.225160 (rounded ~ 0.23)
vs o3 Deep Research: ↓ 75.7%
vs Sonar Deep Research: ↑ 25.1%
#8

GPT-5.3 Codex Spark
OpenAI

$0.232015 (rounded ~ 0.23)
vs o3 Deep Research: ↓ 74.9%
vs Sonar Deep Research: ↑ 28.9%
#9

GPT-5.4 Thinking
OpenAI

$0.281450 (rounded ~ 0.28)
vs o3 Deep Research: ↓ 69.6%
vs Sonar Deep Research: ↑ 56.4%
#10

Claude Sonnet 4.6
Anthropic

$0.307740 (rounded ~ 0.31)
vs o3 Deep Research: ↓ 66.8%
vs Sonar Deep Research: ↑ 71%
#11

Grok 5
xAI

$0.307740 (rounded ~ 0.31)
vs o3 Deep Research: ↓ 66.8%
vs Sonar Deep Research: ↑ 71%
#12

Claude Opus 4.6
Anthropic

$0.512900 (rounded ~ 0.51)
vs o3 Deep Research: ↓ 44.6%
vs Sonar Deep Research: ↑ 184.9%
#13

o3 Pro
OpenAI

$1.851600 (rounded ~ 1.85)
vs o3 Deep Research: ↑ 100%
vs Sonar Deep Research: ↑ 928.7%
#14

GPT-5.2 Pro
OpenAI

$2.784180 (rounded ~ 2.78)
vs o3 Deep Research: ↑ 200.7%
vs Sonar Deep Research: ↑ 1446.8%
#15

GPT-5.2 Pro
OpenAI

$2.784180 (rounded ~ 2.78)
vs o3 Deep Research: ↑ 200.7%
vs Sonar Deep Research: ↑ 1446.8%
✨ 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.

Autonomous Market Research Showdown

Which ‘Deep Research’ agent provides better ROI? Comparing OpenAI’s o3 with Perplexity’s Sonar for massive multi-source data synthesis and visual reporting.

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 are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
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.