Deep Web Research: o3 Deep Research vs Sonar Deep Research (Scenario 5)

o3 Deep Research vs Sonar Deep Research
Complete Comparison: 50,000 input tokens × 12,500 output tokens
Comparison Mode
⚡ 30% Cached

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

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria o3 Deep Research
OpenAI
Sonar Deep Research
Perplexity
Calculation Results (Current Inputs) (30% cached)
Input Tokens 50,000 50,000
Output Tokens 12,500 12,500
Cost Breakdown
Input Cost $0.125000 (rounded ~ $0.13)Worst $0.100000Best
Output Cost $0.125000 (rounded ~ $0.13)Worst $0.100000Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.216250 (rounded ~ $0.22) Most Expensive $0.200000 Best Value
Processing Time 13 minutes, 56.12 seconds Slowest 5 minutes, 34.56 seconds Fastest
Tokens per Second 80Slowest 200Fastest
Time to First Token 450ms Worst 300ms Best
Cost per 1K tokens $0.003460Worst $0.003200Best
Tokens per Dollar 289,017Worst Value 312,500Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $2.500000Worst $2.000000Best
Output Cost / 1M (Base) $10.000000Worst $8.000000Best
Input Cost / 1M (Optimized) $1.250000Best
Optimizations: 50.0% batch
$2.000000Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $5.000000Best
Optimizations: 50.0% batch
$8.000000Worst
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✗ Not Supported
Caching Support
30
✓ Supported ✗ Not Supported requested
Batch API Support ✓ Supported ✗ Not Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Second Model

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All other parameters will be preserved from the current comparison.

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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)
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

$0.087500 Input Cost
$0.125000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
62,500Total Tokens
$0.003460Cost per 1K
289,017Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

13m 56s Processing Time
80 Tokens/Second
450ms Time to First Token
75 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
Manual thinking tokens (billed at output rate)

🔧 Special Modes
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

$0.216250 (rounded ~ $0.22)
Total Cost
⚡ 30% Cached 📊 Batch API 🔧 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) $0.250000 Input: $0.125000 (rounded ~ $0.13)
Output: $0.125000 (rounded ~ $0.13)
Optimized Cost $0.216250 (rounded ~ $0.22) Input: $0.125000 (rounded ~ $0.13)
Output: $0.125000 (rounded ~ $0.13)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.033750 (rounded ~ $0.03) 13.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 12,500 output tokens:

  • Input Cost: $0.125000 (rounded ~ $0.13)
  • Output Cost: $0.125000 (rounded ~ $0.13)
  • Total Cost: $0.216250 (rounded ~ $0.22)
  • Cost per 1K tokens: $0.003460
  • Tokens per dollar: 289,017 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, 56.12 seconds
  • Latency: 450 milliseconds to first token
  • Base Throughput: 80 tokens/second
  • Effective Throughput: 75 tokens/second (temperature-adjusted)

Best Use Cases

Automated market intel and competitive analysis.

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This calculator shows the math for o3 Deep Research. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

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Sonar Deep Research Perplexity 1000000

$0.200000
Total Cost
⚡ 30% Cached 📊 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) $0.200000 Input: $0.100000
Output: $0.100000
Optimized Cost $0.200000 Input: $0.100000
Output: $0.100000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 12,500 output tokens:

  • Input Cost: $0.100000
  • Output Cost: $0.100000
  • Total Cost: $0.200000
  • Cost per 1K tokens: $0.003200
  • 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: 5 minutes, 34.56 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 200 tokens/second
  • Effective Throughput: 187 tokens/second (temperature-adjusted)

Best Use Cases

Automated market intel and competitive analysis.

Want this applied to YOUR actual stack?

This calculator shows the math for Sonar Deep Research. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to o3 Deep Research
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 12,500
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Tools: Enabled
Rank AI Model & Provider Total Cost vs o3 Deep Research vs Sonar Deep Research
🏆 Mistral Small 3
Mistral AI
$0.001850 Best Value ↓ 99.1% cheaper ↓ 99.1% cheaper
🥈 Grok Code Fast 1
xAI
$0.006513 (rounded ~ $0.01) ↓ 97% cheaper ↓ 96.7% cheaper
🥉 Gemini 3.1 Flash Lite
Google
$0.006969 (rounded ~ $0.01) ↓ 96.8% cheaper ↓ 96.5% cheaper
#4 Mistral Large 3
Mistral AI
$0.009250 ↓ 95.7% cheaper ↓ 95.4% cheaper
#5 Gemini 2.5 Flash
Google
$0.010550 ↓ 95.1% cheaper ↓ 94.7% cheaper
#6 Grok 4.3
xAI
$0.019219 ↓ 91.1% cheaper ↓ 90.4% cheaper
#7 GPT-5.4 mini
OpenAI
$0.020906 ↓ 90.3% cheaper ↓ 89.5% cheaper
#8 o4-mini Deep Research
OpenAI
$0.021625 (rounded ~ $0.02) ↓ 90% cheaper ↓ 89.2% cheaper
#9 o4-mini
OpenAI
$0.023788 (rounded ~ $0.02) ↓ 89% cheaper ↓ 88.1% cheaper
#10 Claude Haiku 4.5
Anthropic
$0.024750 (rounded ~ $0.02) ↓ 88.6% cheaper ↓ 87.6% cheaper
#11 Gemini 3.1 Flash
Google
$0.027875 (rounded ~ $0.03) ↓ 87.1% cheaper ↓ 86.1% cheaper
#12 Grok 4.20 Beta
xAI
$0.037000 (rounded ~ $0.04) ↓ 82.9% cheaper ↓ 81.5% cheaper
#13 Gemini 3.5 Flash
Google
$0.041813 (rounded ~ $0.04) ↓ 80.7% cheaper ↓ 79.1% cheaper
#14 GPT-5.3 Codex Spark
OpenAI
$0.059719 ↓ 72.4% cheaper ↓ 70.1% cheaper
#15 GPT-5.3 Instant
OpenAI
$0.059719 ↓ 72.4% cheaper ↓ 70.1% cheaper
#16 Claude Sonnet 4.6
Anthropic
$0.074250 (rounded ~ $0.07) ↓ 65.7% cheaper ↓ 62.9% cheaper
#17 Gemini 2.5 Pro
Google
$0.085313 (rounded ~ $0.09) ↓ 60.5% cheaper ↓ 57.3% cheaper
#18 Gemini 3.1 Pro
Google
$0.111500 (rounded ~ $0.11) ↓ 48.4% cheaper ↓ 44.3% cheaper
#19 Claude Opus 4.7
Anthropic
$0.123750 (rounded ~ $0.12) ↓ 42.8% cheaper ↓ 38.1% cheaper
#20 Claude Opus 4.8
Anthropic
$0.123750 (rounded ~ $0.12) ↓ 42.8% cheaper ↓ 38.1% cheaper
#21 Claude Opus 4.6
Anthropic
$0.123750 (rounded ~ $0.12) ↓ 42.8% cheaper ↓ 38.1% cheaper
#22 GPT-5.4
OpenAI
$0.139375 ↓ 35.5% cheaper ↓ 30.3% cheaper
#23 GPT-5.4 Thinking
OpenAI
$0.139375 ↓ 35.5% cheaper ↓ 30.3% cheaper
#24 GPT-5.5 Instant
OpenAI
$0.139375 ↓ 35.5% cheaper ↓ 30.3% cheaper
#25 GPT-5.5
OpenAI
$0.278750 (rounded ~ $0.28) ↑ 28.9% more ↑ 39.4% more
#26 o3 Pro
OpenAI
$0.432500 (rounded ~ $0.43) ↑ 100% more ↑ 116.3% more
#27 GPT-5.2 Pro
OpenAI
$0.716625 (rounded ~ $0.72) ↑ 231.4% more ↑ 258.3% more
#28 GPT-5.2 Pro
OpenAI
$0.716625 (rounded ~ $0.72) ↑ 231.4% more ↑ 258.3% more
🏆

Mistral Small 3
Mistral AI

$0.001850
vs o3 Deep Research: ↓ 99.1%
vs Sonar Deep Research: ↓ 99.1%
🥈

Grok Code Fast 1
xAI

$0.006513 (rounded ~ $0.01)
vs o3 Deep Research: ↓ 97%
vs Sonar Deep Research: ↓ 96.7%
🥉

Gemini 3.1 Flash Lite
Google

$0.006969 (rounded ~ $0.01)
vs o3 Deep Research: ↓ 96.8%
vs Sonar Deep Research: ↓ 96.5%
#4

Mistral Large 3
Mistral AI

$0.009250
vs o3 Deep Research: ↓ 95.7%
vs Sonar Deep Research: ↓ 95.4%
#5

Gemini 2.5 Flash
Google

$0.010550
vs o3 Deep Research: ↓ 95.1%
vs Sonar Deep Research: ↓ 94.7%
#6

Grok 4.3
xAI

$0.019219
vs o3 Deep Research: ↓ 91.1%
vs Sonar Deep Research: ↓ 90.4%
#7

GPT-5.4 mini
OpenAI

$0.020906
vs o3 Deep Research: ↓ 90.3%
vs Sonar Deep Research: ↓ 89.5%
#8

o4-mini Deep Research
OpenAI

$0.021625 (rounded ~ $0.02)
vs o3 Deep Research: ↓ 90%
vs Sonar Deep Research: ↓ 89.2%
#9

o4-mini
OpenAI

$0.023788 (rounded ~ $0.02)
vs o3 Deep Research: ↓ 89%
vs Sonar Deep Research: ↓ 88.1%
#10

Claude Haiku 4.5
Anthropic

$0.024750 (rounded ~ $0.02)
vs o3 Deep Research: ↓ 88.6%
vs Sonar Deep Research: ↓ 87.6%
#11

Gemini 3.1 Flash
Google

$0.027875 (rounded ~ $0.03)
vs o3 Deep Research: ↓ 87.1%
vs Sonar Deep Research: ↓ 86.1%
#12

Grok 4.20 Beta
xAI

$0.037000 (rounded ~ $0.04)
vs o3 Deep Research: ↓ 82.9%
vs Sonar Deep Research: ↓ 81.5%
#13

Gemini 3.5 Flash
Google

$0.041813 (rounded ~ $0.04)
vs o3 Deep Research: ↓ 80.7%
vs Sonar Deep Research: ↓ 79.1%
#14

GPT-5.3 Codex Spark
OpenAI

$0.059719
vs o3 Deep Research: ↓ 72.4%
vs Sonar Deep Research: ↓ 70.1%
#15

GPT-5.3 Instant
OpenAI

$0.059719
vs o3 Deep Research: ↓ 72.4%
vs Sonar Deep Research: ↓ 70.1%
#16

Claude Sonnet 4.6
Anthropic

$0.074250 (rounded ~ $0.07)
vs o3 Deep Research: ↓ 65.7%
vs Sonar Deep Research: ↓ 62.9%
#17

Gemini 2.5 Pro
Google

$0.085313 (rounded ~ $0.09)
vs o3 Deep Research: ↓ 60.5%
vs Sonar Deep Research: ↓ 57.3%
#18

Gemini 3.1 Pro
Google

$0.111500 (rounded ~ $0.11)
vs o3 Deep Research: ↓ 48.4%
vs Sonar Deep Research: ↓ 44.3%
#19

Claude Opus 4.7
Anthropic

$0.123750 (rounded ~ $0.12)
vs o3 Deep Research: ↓ 42.8%
vs Sonar Deep Research: ↓ 38.1%
#20

Claude Opus 4.8
Anthropic

$0.123750 (rounded ~ $0.12)
vs o3 Deep Research: ↓ 42.8%
vs Sonar Deep Research: ↓ 38.1%
#21

Claude Opus 4.6
Anthropic

$0.123750 (rounded ~ $0.12)
vs o3 Deep Research: ↓ 42.8%
vs Sonar Deep Research: ↓ 38.1%
#22

GPT-5.4
OpenAI

$0.139375
vs o3 Deep Research: ↓ 35.5%
vs Sonar Deep Research: ↓ 30.3%
#23

GPT-5.4 Thinking
OpenAI

$0.139375
vs o3 Deep Research: ↓ 35.5%
vs Sonar Deep Research: ↓ 30.3%
#24

GPT-5.5 Instant
OpenAI

$0.139375
vs o3 Deep Research: ↓ 35.5%
vs Sonar Deep Research: ↓ 30.3%
#25

GPT-5.5
OpenAI

$0.278750 (rounded ~ $0.28)
vs o3 Deep Research: ↑ 28.9%
vs Sonar Deep Research: ↑ 39.4%
#26

o3 Pro
OpenAI

$0.432500 (rounded ~ $0.43)
vs o3 Deep Research: ↑ 100%
vs Sonar Deep Research: ↑ 116.3%
#27

GPT-5.2 Pro
OpenAI

$0.716625 (rounded ~ $0.72)
vs o3 Deep Research: ↑ 231.4%
vs Sonar Deep Research: ↑ 258.3%
#28

GPT-5.2 Pro
OpenAI

$0.716625 (rounded ~ $0.72)
vs o3 Deep Research: ↑ 231.4%
vs Sonar Deep Research: ↑ 258.3%
✨ 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.

Enterprise Comparison: Automated market intel and competitive analysis.

Detailed cost-performance analysis for Q2 2026.

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.