Deep Market Research Agent Cost: o3 Deep Research (Tier 3)

o3 Deep Research vs Sonar Deep Research
Complete Comparison: 100,000 input tokens × 20,000 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 100,000 N/A (Special Pricing)
Output Tokens 20,000 N/A (Special Pricing)
Cost Breakdown
Input Cost $0.250000 N/A (Special Pricing)
Output Cost $0.200000 N/A (Special Pricing)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.382500 (rounded ~ 0.38) Most Expensive $0.360000 Best Value
Processing Time 26 minutes, 45.00 seconds Slowest 10 minutes, 42.00 seconds Fastest
Tokens per Second 80 N/A (Special Pricing)
Time to First Token 450ms Worst 300ms Best
Cost per 1K tokens $0.003188 (rounded ~ 0.00) N/A (Special Pricing)
Tokens per Dollar 313,725 N/A (Special Pricing)
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $2.500000 N/A (Special Pricing)
Output Cost / 1M (Base) $10.000000 N/A (Special Pricing)
Input Cost / 1M (Optimized) $1.250000
Optimizations: 50.0% batch
N/A (Special Pricing)
Output Cost / 1M (Optimized) $5.000000
Optimizations: 50.0% batch
N/A (Special Pricing)
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
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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

$0.382500 Total Cost
$0.175000 Input Cost
$0.200000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
120,000Total Tokens
$0.003188Cost per 1K
313,725Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

26m 45s 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
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

$0.382500 (rounded ~ 0.38)
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) $0.450000 Input: $0.250000
Output: $0.200000
Optimized Cost $0.382500 (rounded ~ 0.38) Input: $0.250000
Output: $0.200000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.067500 (rounded ~ 0.07) 15.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 20,000 output tokens:

  • Input Cost: $0.250000
  • Output Cost: $0.200000
  • Total Cost: $0.382500 (rounded ~ 0.38)
  • Cost per 1K tokens: $0.003188 (rounded ~ 0.00)
  • Tokens per dollar: 313,725 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: 26 minutes, 45.00 seconds
  • Latency: 450 milliseconds to first token
  • Base Throughput: 80 tokens/second
  • Effective Throughput: 75 tokens/second (temperature-adjusted)

Best Use Cases

Autonomous web browsing and intelligence synthesis.

Sonar Deep Research Perplexity 1000000

$0.360000
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) $0.360000 Input: $0.200000
Output: $0.160000
Optimized Cost $0.360000 Input: $0.200000
Output: $0.160000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 20,000 output tokens:

  • Input Cost: $0.200000
  • Output Cost: $0.160000
  • Total Cost: $0.360000
  • 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: 10 minutes, 42.00 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 200 tokens/second
  • Effective Throughput: 187 tokens/second (temperature-adjusted)

Best Use Cases

Autonomous web browsing and intelligence synthesis.

✨ Market Recommendations AI Model Registry

← Back to o3 Deep Research
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 20,000
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
 $0.003325 (rounded ~ 0.00) Best Value ↓ 99.1% cheaper ↓ 99.1% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.007650 (rounded ~ 0.01) ↓ 98% cheaper ↓ 97.9% cheaper
🥉 o4-mini Deep Research
OpenAI
 $0.038250 (rounded ~ 0.04) ↓ 90% cheaper ↓ 89.4% cheaper
#4 o4-mini
OpenAI
 $0.042075 (rounded ~ 0.04) ↓ 89% cheaper ↓ 88.3% cheaper
#5 Mistral Large 3
Mistral AI
 $0.066500 (rounded ~ 0.07) ↓ 82.6% cheaper ↓ 81.5% cheaper
#6 GPT-5.3 Codex Spark
OpenAI
 $0.101938 (rounded ~ 0.10) ↓ 73.3% cheaper ↓ 71.7% cheaper
#7 Grok 5
xAI
 $0.129750 ↓ 66.1% cheaper ↓ 64% cheaper
#8 Gemini 3.1 Pro
Google
 $0.193000 (rounded ~ 0.19) ↓ 49.5% cheaper ↓ 46.4% cheaper
#9 GPT-5.4 Thinking
OpenAI
 $0.241250 (rounded ~ 0.24) ↓ 36.9% cheaper ↓ 33% cheaper
#10 Claude Sonnet 4.6
Anthropic
 $0.257250 (rounded ~ 0.26) ↓ 32.7% cheaper ↓ 28.5% cheaper
#11 Claude Opus 4.6
Anthropic
 $0.428750 (rounded ~ 0.43) ↑ 12.1% more ↑ 19.1% more
#12 o3 Pro
OpenAI
 $0.765000 (rounded ~ 0.77) ↑ 100% more ↑ 112.5% more
#13 GPT-5.2 Pro
OpenAI
 $1.223250 (rounded ~ 1.22) ↑ 219.8% more ↑ 239.8% more
#14 GPT-5.2 Pro
OpenAI
 $1.223250 (rounded ~ 1.22) ↑ 219.8% more ↑ 239.8% more
🏆

Mistral Small 3
Mistral AI

$0.003325 (rounded ~ 0.00)
vs o3 Deep Research: ↓ 99.1%
vs Sonar Deep Research: ↓ 99.1%
🥈

Gemini 3.1 Flash Lite
Google

$0.007650 (rounded ~ 0.01)
vs o3 Deep Research: ↓ 98%
vs Sonar Deep Research: ↓ 97.9%
🥉

o4-mini Deep Research
OpenAI

$0.038250 (rounded ~ 0.04)
vs o3 Deep Research: ↓ 90%
vs Sonar Deep Research: ↓ 89.4%
#4

o4-mini
OpenAI

$0.042075 (rounded ~ 0.04)
vs o3 Deep Research: ↓ 89%
vs Sonar Deep Research: ↓ 88.3%
#5

Mistral Large 3
Mistral AI

$0.066500 (rounded ~ 0.07)
vs o3 Deep Research: ↓ 82.6%
vs Sonar Deep Research: ↓ 81.5%
#6

GPT-5.3 Codex Spark
OpenAI

$0.101938 (rounded ~ 0.10)
vs o3 Deep Research: ↓ 73.3%
vs Sonar Deep Research: ↓ 71.7%
#7

Grok 5
xAI

$0.129750
vs o3 Deep Research: ↓ 66.1%
vs Sonar Deep Research: ↓ 64%
#8

Gemini 3.1 Pro
Google

$0.193000 (rounded ~ 0.19)
vs o3 Deep Research: ↓ 49.5%
vs Sonar Deep Research: ↓ 46.4%
#9

GPT-5.4 Thinking
OpenAI

$0.241250 (rounded ~ 0.24)
vs o3 Deep Research: ↓ 36.9%
vs Sonar Deep Research: ↓ 33%
#10

Claude Sonnet 4.6
Anthropic

$0.257250 (rounded ~ 0.26)
vs o3 Deep Research: ↓ 32.7%
vs Sonar Deep Research: ↓ 28.5%
#11

Claude Opus 4.6
Anthropic

$0.428750 (rounded ~ 0.43)
vs o3 Deep Research: ↑ 12.1%
vs Sonar Deep Research: ↑ 19.1%
#12

o3 Pro
OpenAI

$0.765000 (rounded ~ 0.77)
vs o3 Deep Research: ↑ 100%
vs Sonar Deep Research: ↑ 112.5%
#13

GPT-5.2 Pro
OpenAI

$1.223250 (rounded ~ 1.22)
vs o3 Deep Research: ↑ 219.8%
vs Sonar Deep Research: ↑ 239.8%
#14

GPT-5.2 Pro
OpenAI

$1.223250 (rounded ~ 1.22)
vs o3 Deep Research: ↑ 219.8%
vs Sonar Deep Research: ↑ 239.8%
✨ 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 web browsing and intelligence synthesis.

Estimate the operational costs for 2026 enterprise AI deployments using latest tokenomics.

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.